{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用paddlex进行分类任务。275 种鸟类的数据集的分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T20:09:57.846862Z",
     "iopub.status.busy": "2022-02-20T20:09:57.846362Z",
     "iopub.status.idle": "2022-02-20T20:10:16.271405Z",
     "shell.execute_reply": "2022-02-20T20:10:16.270302Z",
     "shell.execute_reply.started": "2022-02-20T20:09:57.846825Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "!unzip -oq data/data99214/Bird_Dataset.zip -d Bird_Dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T20:10:16.285459Z",
     "iopub.status.busy": "2022-02-20T20:10:16.284845Z",
     "iopub.status.idle": "2022-02-20T20:10:16.715590Z",
     "shell.execute_reply": "2022-02-20T20:10:16.714750Z",
     "shell.execute_reply.started": "2022-02-20T20:10:16.285418Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bird_Dataset\n",
      "├── birds\n",
      "│   ├── test\n",
      "│   │   ├── AFRICAN CROWNED CRANE\n",
      "│   │   ├── AFRICAN FIREFINCH\n",
      "│   │   ├── ALBATROSS\n",
      "│   │   ├── ALEXANDRINE PARAKEET\n",
      "│   │   ├── AMERICAN AVOCET\n",
      "│   │   ├── AMERICAN BITTERN\n",
      "│   │   ├── AMERICAN COOT\n",
      "│   │   ├── AMERICAN GOLDFINCH\n",
      "│   │   ├── AMERICAN KESTREL\n",
      "│   │   ├── AMERICAN PIPIT\n",
      "│   │   ├── AMERICAN REDSTART\n",
      "│   │   ├── ANHINGA\n",
      "│   │   ├── ANNAS HUMMINGBIRD\n",
      "│   │   ├── ANTBIRD\n",
      "│   │   ├── ARARIPE MANAKIN\n",
      "│   │   ├── ASIAN CRESTED IBIS\n",
      "│   │   ├── BALD EAGLE\n",
      "│   │   ├── BALI STARLING\n",
      "│   │   ├── BALTIMORE ORIOLE\n",
      "│   │   ├── BANANAQUIT\n",
      "│   │   ├── BANDED BROADBILL\n",
      "│   │   ├── BARN OWL\n",
      "│   │   ├── BARN SWALLOW\n",
      "│   │   ├── BARRED PUFFBIRD\n",
      "│   │   ├── BAR-TAILED GODWIT\n",
      "│   │   ├── BAY-BREASTED WARBLER\n",
      "│   │   ├── BEARDED BARBET\n",
      "│   │   ├── BEARDED REEDLING\n",
      "│   │   ├── BELTED KINGFISHER\n",
      "│   │   ├── BIRD OF PARADISE\n",
      "│   │   ├── BLACKBURNIAM WARBLER\n",
      "│   │   ├── BLACK-CAPPED CHICKADEE\n",
      "│   │   ├── BLACK FRANCOLIN\n",
      "│   │   ├── BLACK-NECKED GREBE\n",
      "│   │   ├── BLACK SKIMMER\n",
      "│   │   ├── BLACK SWAN\n",
      "│   │   ├── BLACK TAIL CRAKE\n",
      "│   │   ├── BLACK THROATED BUSHTIT\n",
      "│   │   ├── BLACK-THROATED SPARROW\n",
      "│   │   ├── BLACK THROATED WARBLER\n",
      "│   │   ├── BLACK VULTURE\n",
      "│   │   ├── BLACK & YELLOW bROADBILL\n",
      "│   │   ├── BLUE GROUSE\n",
      "│   │   ├── BLUE HERON\n",
      "│   │   ├── BOBOLINK\n",
      "│   │   ├── BORNEAN BRISTLEHEAD\n",
      "│   │   ├── BORNEAN LEAFBIRD\n",
      "│   │   ├── BROWN NOODY\n",
      "│   │   ├── BROWN THRASHER\n",
      "│   │   ├── BULWERS PHEASANT\n",
      "│   │   ├── CACTUS WREN\n",
      "│   │   ├── CALIFORNIA CONDOR\n",
      "│   │   ├── CALIFORNIA GULL\n",
      "│   │   ├── CALIFORNIA QUAIL\n",
      "│   │   ├── CANARY\n",
      "│   │   ├── CAPE MAY WARBLER\n",
      "│   │   ├── CAPUCHINBIRD\n",
      "│   │   ├── CARMINE BEE-EATER\n",
      "│   │   ├── CASPIAN TERN\n",
      "│   │   ├── CASSOWARY\n",
      "│   │   ├── CEDAR WAXWING\n",
      "│   │   ├── CHARA DE COLLAR\n",
      "│   │   ├── CHIPPING SPARROW\n",
      "│   │   ├── CHUKAR PARTRIDGE\n",
      "│   │   ├── CINNAMON TEAL\n",
      "│   │   ├── CLARKS NUTCRACKER\n",
      "│   │   ├── COCKATOO\n",
      "│   │   ├── COCK OF THE  ROCK\n",
      "│   │   ├── COMMON FIRECREST\n",
      "│   │   ├── COMMON GRACKLE\n",
      "│   │   ├── COMMON HOUSE MARTIN\n",
      "│   │   ├── COMMON LOON\n",
      "│   │   ├── COMMON POORWILL\n",
      "│   │   ├── COMMON STARLING\n",
      "│   │   ├── COUCHS KINGBIRD\n",
      "│   │   ├── CRESTED AUKLET\n",
      "│   │   ├── CRESTED CARACARA\n",
      "│   │   ├── CRESTED NUTHATCH\n",
      "│   │   ├── CROW\n",
      "│   │   ├── CROWNED PIGEON\n",
      "│   │   ├── CUBAN TODY\n",
      "│   │   ├── CURL CRESTED ARACURI\n",
      "│   │   ├── DARK EYED JUNCO\n",
      "│   │   ├── D-ARNAUDS BARBET\n",
      "│   │   ├── DOUBLE BARRED FINCH\n",
      "│   │   ├── DOWNY WOODPECKER\n",
      "│   │   ├── EASTERN BLUEBIRD\n",
      "│   │   ├── EASTERN MEADOWLARK\n",
      "│   │   ├── EASTERN ROSELLA\n",
      "│   │   ├── EASTERN TOWEE\n",
      "│   │   ├── ELEGANT TROGON\n",
      "│   │   ├── ELLIOTS  PHEASANT\n",
      "│   │   ├── EMPEROR PENGUIN\n",
      "│   │   ├── EMU\n",
      "│   │   ├── ENGGANO MYNA\n",
      "│   │   ├── EURASIAN GOLDEN ORIOLE\n",
      "│   │   ├── EURASIAN MAGPIE\n",
      "│   │   ├── EVENING GROSBEAK\n",
      "│   │   ├── FIRE TAILLED MYZORNIS\n",
      "│   │   ├── FLAME TANAGER\n",
      "│   │   ├── FLAMINGO\n",
      "│   │   ├── FRIGATE\n",
      "│   │   ├── GAMBELS QUAIL\n",
      "│   │   ├── GANG GANG COCKATOO\n",
      "│   │   ├── GILA WOODPECKER\n",
      "│   │   ├── GILDED FLICKER\n",
      "│   │   ├── GLOSSY IBIS\n",
      "│   │   ├── GO AWAY BIRD\n",
      "│   │   ├── GOLDEN CHEEKED WARBLER\n",
      "│   │   ├── GOLDEN CHLOROPHONIA\n",
      "│   │   ├── GOLDEN EAGLE\n",
      "│   │   ├── GOLDEN PHEASANT\n",
      "│   │   ├── GOLDEN PIPIT\n",
      "│   │   ├── GOLD WING WARBLER\n",
      "│   │   ├── GOULDIAN FINCH\n",
      "│   │   ├── GRAY CATBIRD\n",
      "│   │   ├── GRAY PARTRIDGE\n",
      "│   │   ├── GREATOR SAGE GROUSE\n",
      "│   │   ├── GREAT POTOO\n",
      "│   │   ├── GREEN JAY\n",
      "│   │   ├── GREEN MAGPIE\n",
      "│   │   ├── GREY PLOVER\n",
      "│   │   ├── GUINEAFOWL\n",
      "│   │   ├── GUINEA TURACO\n",
      "│   │   ├── GYRFALCON\n",
      "│   │   ├── HARPY EAGLE\n",
      "│   │   ├── HAWAIIAN GOOSE\n",
      "│   │   ├── HELMET VANGA\n",
      "│   │   ├── HIMALAYAN MONAL\n",
      "│   │   ├── HOATZIN\n",
      "│   │   ├── HOODED MERGANSER\n",
      "│   │   ├── HOOPOES\n",
      "│   │   ├── HORNBILL\n",
      "│   │   ├── HORNED GUAN\n",
      "│   │   ├── HORNED SUNGEM\n",
      "│   │   ├── HOUSE FINCH\n",
      "│   │   ├── HOUSE SPARROW\n",
      "│   │   ├── IMPERIAL SHAQ\n",
      "│   │   ├── INCA TERN\n",
      "│   │   ├── INDIAN BUSTARD\n",
      "│   │   ├── INDIAN PITTA\n",
      "│   │   ├── INDIGO BUNTING\n",
      "│   │   ├── JABIRU\n",
      "│   │   ├── JAVA SPARROW\n",
      "│   │   ├── KAKAPO\n",
      "│   │   ├── KILLDEAR\n",
      "│   │   ├── KING VULTURE\n",
      "│   │   ├── KIWI\n",
      "│   │   ├── KOOKABURRA\n",
      "│   │   ├── LARK BUNTING\n",
      "│   │   ├── LEARS MACAW\n",
      "│   │   ├── LILAC ROLLER\n",
      "│   │   ├── LONG-EARED OWL\n",
      "│   │   ├── MAGPIE GOOSE\n",
      "│   │   ├── MALABAR HORNBILL\n",
      "│   │   ├── MALACHITE KINGFISHER\n",
      "│   │   ├── MALEO\n",
      "│   │   ├── MALLARD DUCK\n",
      "│   │   ├── MANDRIN DUCK\n",
      "│   │   ├── MARABOU STORK\n",
      "│   │   ├── MASKED BOOBY\n",
      "│   │   ├── MASKED LAPWING\n",
      "│   │   ├── MIKADO  PHEASANT\n",
      "│   │   ├── MOURNING DOVE\n",
      "│   │   ├── MYNA\n",
      "│   │   ├── NICOBAR PIGEON\n",
      "│   │   ├── NOISY FRIARBIRD\n",
      "│   │   ├── NORTHERN BALD IBIS\n",
      "│   │   ├── NORTHERN CARDINAL\n",
      "│   │   ├── NORTHERN FLICKER\n",
      "│   │   ├── NORTHERN GANNET\n",
      "│   │   ├── NORTHERN GOSHAWK\n",
      "│   │   ├── NORTHERN JACANA\n",
      "│   │   ├── NORTHERN MOCKINGBIRD\n",
      "│   │   ├── NORTHERN PARULA\n",
      "│   │   ├── NORTHERN RED BISHOP\n",
      "│   │   ├── NORTHERN SHOVELER\n",
      "│   │   ├── OCELLATED TURKEY\n",
      "│   │   ├── OKINAWA RAIL\n",
      "│   │   ├── OSPREY\n",
      "│   │   ├── OSTRICH\n",
      "│   │   ├── OVENBIRD\n",
      "│   │   ├── OYSTER CATCHER\n",
      "│   │   ├── PAINTED BUNTIG\n",
      "│   │   ├── PALILA\n",
      "│   │   ├── PARADISE TANAGER\n",
      "│   │   ├── PARAKETT  AKULET\n",
      "│   │   ├── PARUS MAJOR\n",
      "│   │   ├── PEACOCK\n",
      "│   │   ├── PELICAN\n",
      "│   │   ├── PEREGRINE FALCON\n",
      "│   │   ├── PHILIPPINE EAGLE\n",
      "│   │   ├── PINK ROBIN\n",
      "│   │   ├── PUFFIN\n",
      "│   │   ├── PURPLE FINCH\n",
      "│   │   ├── PURPLE GALLINULE\n",
      "│   │   ├── PURPLE MARTIN\n",
      "│   │   ├── PURPLE SWAMPHEN\n",
      "│   │   ├── PYGMY KINGFISHER\n",
      "│   │   ├── QUETZAL\n",
      "│   │   ├── RAINBOW LORIKEET\n",
      "│   │   ├── RAZORBILL\n",
      "│   │   ├── RED BEARDED BEE EATER\n",
      "│   │   ├── RED BELLIED PITTA\n",
      "│   │   ├── RED BROWED FINCH\n",
      "│   │   ├── RED FACED CORMORANT\n",
      "│   │   ├── RED FACED WARBLER\n",
      "│   │   ├── RED HEADED DUCK\n",
      "│   │   ├── RED HEADED WOODPECKER\n",
      "│   │   ├── RED HONEY CREEPER\n",
      "│   │   ├── RED TAILED THRUSH\n",
      "│   │   ├── RED WINGED BLACKBIRD\n",
      "│   │   ├── RED WISKERED BULBUL\n",
      "│   │   ├── REGENT BOWERBIRD\n",
      "│   │   ├── RING-NECKED PHEASANT\n",
      "│   │   ├── ROADRUNNER\n",
      "│   │   ├── ROBIN\n",
      "│   │   ├── ROCK DOVE\n",
      "│   │   ├── ROSY FACED LOVEBIRD\n",
      "│   │   ├── ROUGH LEG BUZZARD\n",
      "│   │   ├── ROYAL FLYCATCHER\n",
      "│   │   ├── RUBY THROATED HUMMINGBIRD\n",
      "│   │   ├── RUFOUS KINGFISHER\n",
      "│   │   ├── RUFUOS MOTMOT\n",
      "│   │   ├── SAMATRAN THRUSH\n",
      "│   │   ├── SAND MARTIN\n",
      "│   │   ├── SCARLET IBIS\n",
      "│   │   ├── SCARLET MACAW\n",
      "│   │   ├── SHOEBILL\n",
      "│   │   ├── SHORT BILLED DOWITCHER\n",
      "│   │   ├── SMITHS LONGSPUR\n",
      "│   │   ├── SNOWY EGRET\n",
      "│   │   ├── SNOWY OWL\n",
      "│   │   ├── SORA\n",
      "│   │   ├── SPANGLED COTINGA\n",
      "│   │   ├── SPLENDID WREN\n",
      "│   │   ├── SPOON BILED SANDPIPER\n",
      "│   │   ├── SPOONBILL\n",
      "│   │   ├── SRI LANKA BLUE MAGPIE\n",
      "│   │   ├── STEAMER DUCK\n",
      "│   │   ├── STORK BILLED KINGFISHER\n",
      "│   │   ├── STRAWBERRY FINCH\n",
      "│   │   ├── STRIPPED SWALLOW\n",
      "│   │   ├── SUPERB STARLING\n",
      "│   │   ├── SWINHOES PHEASANT\n",
      "│   │   ├── TAIWAN MAGPIE\n",
      "│   │   ├── TAKAHE\n",
      "│   │   ├── TASMANIAN HEN\n",
      "│   │   ├── TEAL DUCK\n",
      "│   │   ├── TIT MOUSE\n",
      "│   │   ├── TOUCHAN\n",
      "│   │   ├── TOWNSENDS WARBLER\n",
      "│   │   ├── TREE SWALLOW\n",
      "│   │   ├── TRUMPTER SWAN\n",
      "│   │   ├── TURKEY VULTURE\n",
      "│   │   ├── TURQUOISE MOTMOT\n",
      "│   │   ├── UMBRELLA BIRD\n",
      "│   │   ├── VARIED THRUSH\n",
      "│   │   ├── VENEZUELIAN TROUPIAL\n",
      "│   │   ├── VERMILION FLYCATHER\n",
      "│   │   ├── VICTORIA CROWNED PIGEON\n",
      "│   │   ├── VIOLET GREEN SWALLOW\n",
      "│   │   ├── VULTURINE GUINEAFOWL\n",
      "│   │   ├── WATTLED CURASSOW\n",
      "│   │   ├── WHIMBREL\n",
      "│   │   ├── WHITE CHEEKED TURACO\n",
      "│   │   ├── WHITE NECKED RAVEN\n",
      "│   │   ├── WHITE TAILED TROPIC\n",
      "│   │   ├── WHITE THROATED BEE EATER\n",
      "│   │   ├── WILD TURKEY\n",
      "│   │   ├── WILSONS BIRD OF PARADISE\n",
      "│   │   ├── WOOD DUCK\n",
      "│   │   ├── YELLOW BELLIED FLOWERPECKER\n",
      "│   │   ├── YELLOW CACIQUE\n",
      "│   │   └── YELLOW HEADED BLACKBIRD\n",
      "│   ├── train\n",
      "│   │   ├── AFRICAN CROWNED CRANE\n",
      "│   │   ├── AFRICAN FIREFINCH\n",
      "│   │   ├── ALBATROSS\n",
      "│   │   ├── ALEXANDRINE PARAKEET\n",
      "│   │   ├── AMERICAN AVOCET\n",
      "│   │   ├── AMERICAN BITTERN\n",
      "│   │   ├── AMERICAN COOT\n",
      "│   │   ├── AMERICAN GOLDFINCH\n",
      "│   │   ├── AMERICAN KESTREL\n",
      "│   │   ├── AMERICAN PIPIT\n",
      "│   │   ├── AMERICAN REDSTART\n",
      "│   │   ├── ANHINGA\n",
      "│   │   ├── ANNAS HUMMINGBIRD\n",
      "│   │   ├── ANTBIRD\n",
      "│   │   ├── ARARIPE MANAKIN\n",
      "│   │   ├── ASIAN CRESTED IBIS\n",
      "│   │   ├── BALD EAGLE\n",
      "│   │   ├── BALI STARLING\n",
      "│   │   ├── BALTIMORE ORIOLE\n",
      "│   │   ├── BANANAQUIT\n",
      "│   │   ├── BANDED BROADBILL\n",
      "│   │   ├── BARN OWL\n",
      "│   │   ├── BARN SWALLOW\n",
      "│   │   ├── BARRED PUFFBIRD\n",
      "│   │   ├── BAR-TAILED GODWIT\n",
      "│   │   ├── BAY-BREASTED WARBLER\n",
      "│   │   ├── BEARDED BARBET\n",
      "│   │   ├── BEARDED REEDLING\n",
      "│   │   ├── BELTED KINGFISHER\n",
      "│   │   ├── BIRD OF PARADISE\n",
      "│   │   ├── BLACKBURNIAM WARBLER\n",
      "│   │   ├── BLACK-CAPPED CHICKADEE\n",
      "│   │   ├── BLACK FRANCOLIN\n",
      "│   │   ├── BLACK-NECKED GREBE\n",
      "│   │   ├── BLACK SKIMMER\n",
      "│   │   ├── BLACK SWAN\n",
      "│   │   ├── BLACK TAIL CRAKE\n",
      "│   │   ├── BLACK THROATED BUSHTIT\n",
      "│   │   ├── BLACK-THROATED SPARROW\n",
      "│   │   ├── BLACK THROATED WARBLER\n",
      "│   │   ├── BLACK VULTURE\n",
      "│   │   ├── BLACK & YELLOW bROADBILL\n",
      "│   │   ├── BLUE GROUSE\n",
      "│   │   ├── BLUE HERON\n",
      "│   │   ├── BOBOLINK\n",
      "│   │   ├── BORNEAN BRISTLEHEAD\n",
      "│   │   ├── BORNEAN LEAFBIRD\n",
      "│   │   ├── BROWN NOODY\n",
      "│   │   ├── BROWN THRASHER\n",
      "│   │   ├── BULWERS PHEASANT\n",
      "│   │   ├── CACTUS WREN\n",
      "│   │   ├── CALIFORNIA CONDOR\n",
      "│   │   ├── CALIFORNIA GULL\n",
      "│   │   ├── CALIFORNIA QUAIL\n",
      "│   │   ├── CANARY\n",
      "│   │   ├── CAPE MAY WARBLER\n",
      "│   │   ├── CAPUCHINBIRD\n",
      "│   │   ├── CARMINE BEE-EATER\n",
      "│   │   ├── CASPIAN TERN\n",
      "│   │   ├── CASSOWARY\n",
      "│   │   ├── CEDAR WAXWING\n",
      "│   │   ├── CHARA DE COLLAR\n",
      "│   │   ├── CHIPPING SPARROW\n",
      "│   │   ├── CHUKAR PARTRIDGE\n",
      "│   │   ├── CINNAMON TEAL\n",
      "│   │   ├── CLARKS NUTCRACKER\n",
      "│   │   ├── COCKATOO\n",
      "│   │   ├── COCK OF THE  ROCK\n",
      "│   │   ├── COMMON FIRECREST\n",
      "│   │   ├── COMMON GRACKLE\n",
      "│   │   ├── COMMON HOUSE MARTIN\n",
      "│   │   ├── COMMON LOON\n",
      "│   │   ├── COMMON POORWILL\n",
      "│   │   ├── COMMON STARLING\n",
      "│   │   ├── COUCHS KINGBIRD\n",
      "│   │   ├── CRESTED AUKLET\n",
      "│   │   ├── CRESTED CARACARA\n",
      "│   │   ├── CRESTED NUTHATCH\n",
      "│   │   ├── CROW\n",
      "│   │   ├── CROWNED PIGEON\n",
      "│   │   ├── CUBAN TODY\n",
      "│   │   ├── CURL CRESTED ARACURI\n",
      "│   │   ├── DARK EYED JUNCO\n",
      "│   │   ├── D-ARNAUDS BARBET\n",
      "│   │   ├── DOUBLE BARRED FINCH\n",
      "│   │   ├── DOWNY WOODPECKER\n",
      "│   │   ├── EASTERN BLUEBIRD\n",
      "│   │   ├── EASTERN MEADOWLARK\n",
      "│   │   ├── EASTERN ROSELLA\n",
      "│   │   ├── EASTERN TOWEE\n",
      "│   │   ├── ELEGANT TROGON\n",
      "│   │   ├── ELLIOTS  PHEASANT\n",
      "│   │   ├── EMPEROR PENGUIN\n",
      "│   │   ├── EMU\n",
      "│   │   ├── ENGGANO MYNA\n",
      "│   │   ├── EURASIAN GOLDEN ORIOLE\n",
      "│   │   ├── EURASIAN MAGPIE\n",
      "│   │   ├── EVENING GROSBEAK\n",
      "│   │   ├── FIRE TAILLED MYZORNIS\n",
      "│   │   ├── FLAME TANAGER\n",
      "│   │   ├── FLAMINGO\n",
      "│   │   ├── FRIGATE\n",
      "│   │   ├── GAMBELS QUAIL\n",
      "│   │   ├── GANG GANG COCKATOO\n",
      "│   │   ├── GILA WOODPECKER\n",
      "│   │   ├── GILDED FLICKER\n",
      "│   │   ├── GLOSSY IBIS\n",
      "│   │   ├── GO AWAY BIRD\n",
      "│   │   ├── GOLDEN CHEEKED WARBLER\n",
      "│   │   ├── GOLDEN CHLOROPHONIA\n",
      "│   │   ├── GOLDEN EAGLE\n",
      "│   │   ├── GOLDEN PHEASANT\n",
      "│   │   ├── GOLDEN PIPIT\n",
      "│   │   ├── GOLD WING WARBLER\n",
      "│   │   ├── GOULDIAN FINCH\n",
      "│   │   ├── GRAY CATBIRD\n",
      "│   │   ├── GRAY PARTRIDGE\n",
      "│   │   ├── GREATOR SAGE GROUSE\n",
      "│   │   ├── GREAT POTOO\n",
      "│   │   ├── GREEN JAY\n",
      "│   │   ├── GREEN MAGPIE\n",
      "│   │   ├── GREY PLOVER\n",
      "│   │   ├── GUINEAFOWL\n",
      "│   │   ├── GUINEA TURACO\n",
      "│   │   ├── GYRFALCON\n",
      "│   │   ├── HARPY EAGLE\n",
      "│   │   ├── HAWAIIAN GOOSE\n",
      "│   │   ├── HELMET VANGA\n",
      "│   │   ├── HIMALAYAN MONAL\n",
      "│   │   ├── HOATZIN\n",
      "│   │   ├── HOODED MERGANSER\n",
      "│   │   ├── HOOPOES\n",
      "│   │   ├── HORNBILL\n",
      "│   │   ├── HORNED GUAN\n",
      "│   │   ├── HORNED SUNGEM\n",
      "│   │   ├── HOUSE FINCH\n",
      "│   │   ├── HOUSE SPARROW\n",
      "│   │   ├── IMPERIAL SHAQ\n",
      "│   │   ├── INCA TERN\n",
      "│   │   ├── INDIAN BUSTARD\n",
      "│   │   ├── INDIAN PITTA\n",
      "│   │   ├── INDIGO BUNTING\n",
      "│   │   ├── JABIRU\n",
      "│   │   ├── JAVA SPARROW\n",
      "│   │   ├── KAKAPO\n",
      "│   │   ├── KILLDEAR\n",
      "│   │   ├── KING VULTURE\n",
      "│   │   ├── KIWI\n",
      "│   │   ├── KOOKABURRA\n",
      "│   │   ├── LARK BUNTING\n",
      "│   │   ├── LEARS MACAW\n",
      "│   │   ├── LILAC ROLLER\n",
      "│   │   ├── LONG-EARED OWL\n",
      "│   │   ├── MAGPIE GOOSE\n",
      "│   │   ├── MALABAR HORNBILL\n",
      "│   │   ├── MALACHITE KINGFISHER\n",
      "│   │   ├── MALEO\n",
      "│   │   ├── MALLARD DUCK\n",
      "│   │   ├── MANDRIN DUCK\n",
      "│   │   ├── MARABOU STORK\n",
      "│   │   ├── MASKED BOOBY\n",
      "│   │   ├── MASKED LAPWING\n",
      "│   │   ├── MIKADO  PHEASANT\n",
      "│   │   ├── MOURNING DOVE\n",
      "│   │   ├── MYNA\n",
      "│   │   ├── NICOBAR PIGEON\n",
      "│   │   ├── NOISY FRIARBIRD\n",
      "│   │   ├── NORTHERN BALD IBIS\n",
      "│   │   ├── NORTHERN CARDINAL\n",
      "│   │   ├── NORTHERN FLICKER\n",
      "│   │   ├── NORTHERN GANNET\n",
      "│   │   ├── NORTHERN GOSHAWK\n",
      "│   │   ├── NORTHERN JACANA\n",
      "│   │   ├── NORTHERN MOCKINGBIRD\n",
      "│   │   ├── NORTHERN PARULA\n",
      "│   │   ├── NORTHERN RED BISHOP\n",
      "│   │   ├── NORTHERN SHOVELER\n",
      "│   │   ├── OCELLATED TURKEY\n",
      "│   │   ├── OKINAWA RAIL\n",
      "│   │   ├── OSPREY\n",
      "│   │   ├── OSTRICH\n",
      "│   │   ├── OVENBIRD\n",
      "│   │   ├── OYSTER CATCHER\n",
      "│   │   ├── PAINTED BUNTIG\n",
      "│   │   ├── PALILA\n",
      "│   │   ├── PARADISE TANAGER\n",
      "│   │   ├── PARAKETT  AKULET\n",
      "│   │   ├── PARUS MAJOR\n",
      "│   │   ├── PEACOCK\n",
      "│   │   ├── PELICAN\n",
      "│   │   ├── PEREGRINE FALCON\n",
      "│   │   ├── PHILIPPINE EAGLE\n",
      "│   │   ├── PINK ROBIN\n",
      "│   │   ├── PUFFIN\n",
      "│   │   ├── PURPLE FINCH\n",
      "│   │   ├── PURPLE GALLINULE\n",
      "│   │   ├── PURPLE MARTIN\n",
      "│   │   ├── PURPLE SWAMPHEN\n",
      "│   │   ├── PYGMY KINGFISHER\n",
      "│   │   ├── QUETZAL\n",
      "│   │   ├── RAINBOW LORIKEET\n",
      "│   │   ├── RAZORBILL\n",
      "│   │   ├── RED BEARDED BEE EATER\n",
      "│   │   ├── RED BELLIED PITTA\n",
      "│   │   ├── RED BROWED FINCH\n",
      "│   │   ├── RED FACED CORMORANT\n",
      "│   │   ├── RED FACED WARBLER\n",
      "│   │   ├── RED HEADED DUCK\n",
      "│   │   ├── RED HEADED WOODPECKER\n",
      "│   │   ├── RED HONEY CREEPER\n",
      "│   │   ├── RED TAILED THRUSH\n",
      "│   │   ├── RED WINGED BLACKBIRD\n",
      "│   │   ├── RED WISKERED BULBUL\n",
      "│   │   ├── REGENT BOWERBIRD\n",
      "│   │   ├── RING-NECKED PHEASANT\n",
      "│   │   ├── ROADRUNNER\n",
      "│   │   ├── ROBIN\n",
      "│   │   ├── ROCK DOVE\n",
      "│   │   ├── ROSY FACED LOVEBIRD\n",
      "│   │   ├── ROUGH LEG BUZZARD\n",
      "│   │   ├── ROYAL FLYCATCHER\n",
      "│   │   ├── RUBY THROATED HUMMINGBIRD\n",
      "│   │   ├── RUFOUS KINGFISHER\n",
      "│   │   ├── RUFUOS MOTMOT\n",
      "│   │   ├── SAMATRAN THRUSH\n",
      "│   │   ├── SAND MARTIN\n",
      "│   │   ├── SCARLET IBIS\n",
      "│   │   ├── SCARLET MACAW\n",
      "│   │   ├── SHOEBILL\n",
      "│   │   ├── SHORT BILLED DOWITCHER\n",
      "│   │   ├── SMITHS LONGSPUR\n",
      "│   │   ├── SNOWY EGRET\n",
      "│   │   ├── SNOWY OWL\n",
      "│   │   ├── SORA\n",
      "│   │   ├── SPANGLED COTINGA\n",
      "│   │   ├── SPLENDID WREN\n",
      "│   │   ├── SPOON BILED SANDPIPER\n",
      "│   │   ├── SPOONBILL\n",
      "│   │   ├── SRI LANKA BLUE MAGPIE\n",
      "│   │   ├── STEAMER DUCK\n",
      "│   │   ├── STORK BILLED KINGFISHER\n",
      "│   │   ├── STRAWBERRY FINCH\n",
      "│   │   ├── STRIPPED SWALLOW\n",
      "│   │   ├── SUPERB STARLING\n",
      "│   │   ├── SWINHOES PHEASANT\n",
      "│   │   ├── TAIWAN MAGPIE\n",
      "│   │   ├── TAKAHE\n",
      "│   │   ├── TASMANIAN HEN\n",
      "│   │   ├── TEAL DUCK\n",
      "│   │   ├── TIT MOUSE\n",
      "│   │   ├── TOUCHAN\n",
      "│   │   ├── TOWNSENDS WARBLER\n",
      "│   │   ├── TREE SWALLOW\n",
      "│   │   ├── TRUMPTER SWAN\n",
      "│   │   ├── TURKEY VULTURE\n",
      "│   │   ├── TURQUOISE MOTMOT\n",
      "│   │   ├── UMBRELLA BIRD\n",
      "│   │   ├── VARIED THRUSH\n",
      "│   │   ├── VENEZUELIAN TROUPIAL\n",
      "│   │   ├── VERMILION FLYCATHER\n",
      "│   │   ├── VICTORIA CROWNED PIGEON\n",
      "│   │   ├── VIOLET GREEN SWALLOW\n",
      "│   │   ├── VULTURINE GUINEAFOWL\n",
      "│   │   ├── WATTLED CURASSOW\n",
      "│   │   ├── WHIMBREL\n",
      "│   │   ├── WHITE CHEEKED TURACO\n",
      "│   │   ├── WHITE NECKED RAVEN\n",
      "│   │   ├── WHITE TAILED TROPIC\n",
      "│   │   ├── WHITE THROATED BEE EATER\n",
      "│   │   ├── WILD TURKEY\n",
      "│   │   ├── WILSONS BIRD OF PARADISE\n",
      "│   │   ├── WOOD DUCK\n",
      "│   │   ├── YELLOW BELLIED FLOWERPECKER\n",
      "│   │   ├── YELLOW CACIQUE\n",
      "│   │   └── YELLOW HEADED BLACKBIRD\n",
      "│   └── valid\n",
      "│       ├── AFRICAN CROWNED CRANE\n",
      "│       ├── AFRICAN FIREFINCH\n",
      "│       ├── ALBATROSS\n",
      "│       ├── ALEXANDRINE PARAKEET\n",
      "│       ├── AMERICAN AVOCET\n",
      "│       ├── AMERICAN BITTERN\n",
      "│       ├── AMERICAN COOT\n",
      "│       ├── AMERICAN GOLDFINCH\n",
      "│       ├── AMERICAN KESTREL\n",
      "│       ├── AMERICAN PIPIT\n",
      "│       ├── AMERICAN REDSTART\n",
      "│       ├── ANHINGA\n",
      "│       ├── ANNAS HUMMINGBIRD\n",
      "│       ├── ANTBIRD\n",
      "│       ├── ARARIPE MANAKIN\n",
      "│       ├── ASIAN CRESTED IBIS\n",
      "│       ├── BALD EAGLE\n",
      "│       ├── BALI STARLING\n",
      "│       ├── BALTIMORE ORIOLE\n",
      "│       ├── BANANAQUIT\n",
      "│       ├── BANDED BROADBILL\n",
      "│       ├── BARN OWL\n",
      "│       ├── BARN SWALLOW\n",
      "│       ├── BARRED PUFFBIRD\n",
      "│       ├── BAR-TAILED GODWIT\n",
      "│       ├── BAY-BREASTED WARBLER\n",
      "│       ├── BEARDED BARBET\n",
      "│       ├── BEARDED REEDLING\n",
      "│       ├── BELTED KINGFISHER\n",
      "│       ├── BIRD OF PARADISE\n",
      "│       ├── BLACKBURNIAM WARBLER\n",
      "│       ├── BLACK-CAPPED CHICKADEE\n",
      "│       ├── BLACK FRANCOLIN\n",
      "│       ├── BLACK-NECKED GREBE\n",
      "│       ├── BLACK SKIMMER\n",
      "│       ├── BLACK SWAN\n",
      "│       ├── BLACK TAIL CRAKE\n",
      "│       ├── BLACK THROATED BUSHTIT\n",
      "│       ├── BLACK-THROATED SPARROW\n",
      "│       ├── BLACK THROATED WARBLER\n",
      "│       ├── BLACK VULTURE\n",
      "│       ├── BLACK & YELLOW bROADBILL\n",
      "│       ├── BLUE GROUSE\n",
      "│       ├── BLUE HERON\n",
      "│       ├── BOBOLINK\n",
      "│       ├── BORNEAN BRISTLEHEAD\n",
      "│       ├── BORNEAN LEAFBIRD\n",
      "│       ├── BROWN NOODY\n",
      "│       ├── BROWN THRASHER\n",
      "│       ├── BULWERS PHEASANT\n",
      "│       ├── CACTUS WREN\n",
      "│       ├── CALIFORNIA CONDOR\n",
      "│       ├── CALIFORNIA GULL\n",
      "│       ├── CALIFORNIA QUAIL\n",
      "│       ├── CANARY\n",
      "│       ├── CAPE MAY WARBLER\n",
      "│       ├── CAPUCHINBIRD\n",
      "│       ├── CARMINE BEE-EATER\n",
      "│       ├── CASPIAN TERN\n",
      "│       ├── CASSOWARY\n",
      "│       ├── CEDAR WAXWING\n",
      "│       ├── CHARA DE COLLAR\n",
      "│       ├── CHIPPING SPARROW\n",
      "│       ├── CHUKAR PARTRIDGE\n",
      "│       ├── CINNAMON TEAL\n",
      "│       ├── CLARKS NUTCRACKER\n",
      "│       ├── COCKATOO\n",
      "│       ├── COCK OF THE  ROCK\n",
      "│       ├── COMMON FIRECREST\n",
      "│       ├── COMMON GRACKLE\n",
      "│       ├── COMMON HOUSE MARTIN\n",
      "│       ├── COMMON LOON\n",
      "│       ├── COMMON POORWILL\n",
      "│       ├── COMMON STARLING\n",
      "│       ├── COUCHS KINGBIRD\n",
      "│       ├── CRESTED AUKLET\n",
      "│       ├── CRESTED CARACARA\n",
      "│       ├── CRESTED NUTHATCH\n",
      "│       ├── CROW\n",
      "│       ├── CROWNED PIGEON\n",
      "│       ├── CUBAN TODY\n",
      "│       ├── CURL CRESTED ARACURI\n",
      "│       ├── DARK EYED JUNCO\n",
      "│       ├── D-ARNAUDS BARBET\n",
      "│       ├── DOUBLE BARRED FINCH\n",
      "│       ├── DOWNY WOODPECKER\n",
      "│       ├── EASTERN BLUEBIRD\n",
      "│       ├── EASTERN MEADOWLARK\n",
      "│       ├── EASTERN ROSELLA\n",
      "│       ├── EASTERN TOWEE\n",
      "│       ├── ELEGANT TROGON\n",
      "│       ├── ELLIOTS  PHEASANT\n",
      "│       ├── EMPEROR PENGUIN\n",
      "│       ├── EMU\n",
      "│       ├── ENGGANO MYNA\n",
      "│       ├── EURASIAN GOLDEN ORIOLE\n",
      "│       ├── EURASIAN MAGPIE\n",
      "│       ├── EVENING GROSBEAK\n",
      "│       ├── FIRE TAILLED MYZORNIS\n",
      "│       ├── FLAME TANAGER\n",
      "│       ├── FLAMINGO\n",
      "│       ├── FRIGATE\n",
      "│       ├── GAMBELS QUAIL\n",
      "│       ├── GANG GANG COCKATOO\n",
      "│       ├── GILA WOODPECKER\n",
      "│       ├── GILDED FLICKER\n",
      "│       ├── GLOSSY IBIS\n",
      "│       ├── GO AWAY BIRD\n",
      "│       ├── GOLDEN CHEEKED WARBLER\n",
      "│       ├── GOLDEN CHLOROPHONIA\n",
      "│       ├── GOLDEN EAGLE\n",
      "│       ├── GOLDEN PHEASANT\n",
      "│       ├── GOLDEN PIPIT\n",
      "│       ├── GOLD WING WARBLER\n",
      "│       ├── GOULDIAN FINCH\n",
      "│       ├── GRAY CATBIRD\n",
      "│       ├── GRAY PARTRIDGE\n",
      "│       ├── GREATOR SAGE GROUSE\n",
      "│       ├── GREAT POTOO\n",
      "│       ├── GREEN JAY\n",
      "│       ├── GREEN MAGPIE\n",
      "│       ├── GREY PLOVER\n",
      "│       ├── GUINEAFOWL\n",
      "│       ├── GUINEA TURACO\n",
      "│       ├── GYRFALCON\n",
      "│       ├── HARPY EAGLE\n",
      "│       ├── HAWAIIAN GOOSE\n",
      "│       ├── HELMET VANGA\n",
      "│       ├── HIMALAYAN MONAL\n",
      "│       ├── HOATZIN\n",
      "│       ├── HOODED MERGANSER\n",
      "│       ├── HOOPOES\n",
      "│       ├── HORNBILL\n",
      "│       ├── HORNED GUAN\n",
      "│       ├── HORNED SUNGEM\n",
      "│       ├── HOUSE FINCH\n",
      "│       ├── HOUSE SPARROW\n",
      "│       ├── IMPERIAL SHAQ\n",
      "│       ├── INCA TERN\n",
      "│       ├── INDIAN BUSTARD\n",
      "│       ├── INDIAN PITTA\n",
      "│       ├── INDIGO BUNTING\n",
      "│       ├── JABIRU\n",
      "│       ├── JAVA SPARROW\n",
      "│       ├── KAKAPO\n",
      "│       ├── KILLDEAR\n",
      "│       ├── KING VULTURE\n",
      "│       ├── KIWI\n",
      "│       ├── KOOKABURRA\n",
      "│       ├── LARK BUNTING\n",
      "│       ├── LEARS MACAW\n",
      "│       ├── LILAC ROLLER\n",
      "│       ├── LONG-EARED OWL\n",
      "│       ├── MAGPIE GOOSE\n",
      "│       ├── MALABAR HORNBILL\n",
      "│       ├── MALACHITE KINGFISHER\n",
      "│       ├── MALEO\n",
      "│       ├── MALLARD DUCK\n",
      "│       ├── MANDRIN DUCK\n",
      "│       ├── MARABOU STORK\n",
      "│       ├── MASKED BOOBY\n",
      "│       ├── MASKED LAPWING\n",
      "│       ├── MIKADO  PHEASANT\n",
      "│       ├── MOURNING DOVE\n",
      "│       ├── MYNA\n",
      "│       ├── NICOBAR PIGEON\n",
      "│       ├── NOISY FRIARBIRD\n",
      "│       ├── NORTHERN BALD IBIS\n",
      "│       ├── NORTHERN CARDINAL\n",
      "│       ├── NORTHERN FLICKER\n",
      "│       ├── NORTHERN GANNET\n",
      "│       ├── NORTHERN GOSHAWK\n",
      "│       ├── NORTHERN JACANA\n",
      "│       ├── NORTHERN MOCKINGBIRD\n",
      "│       ├── NORTHERN PARULA\n",
      "│       ├── NORTHERN RED BISHOP\n",
      "│       ├── NORTHERN SHOVELER\n",
      "│       ├── OCELLATED TURKEY\n",
      "│       ├── OKINAWA RAIL\n",
      "│       ├── OSPREY\n",
      "│       ├── OSTRICH\n",
      "│       ├── OVENBIRD\n",
      "│       ├── OYSTER CATCHER\n",
      "│       ├── PAINTED BUNTIG\n",
      "│       ├── PALILA\n",
      "│       ├── PARADISE TANAGER\n",
      "│       ├── PARAKETT  AKULET\n",
      "│       ├── PARUS MAJOR\n",
      "│       ├── PEACOCK\n",
      "│       ├── PELICAN\n",
      "│       ├── PEREGRINE FALCON\n",
      "│       ├── PHILIPPINE EAGLE\n",
      "│       ├── PINK ROBIN\n",
      "│       ├── PUFFIN\n",
      "│       ├── PURPLE FINCH\n",
      "│       ├── PURPLE GALLINULE\n",
      "│       ├── PURPLE MARTIN\n",
      "│       ├── PURPLE SWAMPHEN\n",
      "│       ├── PYGMY KINGFISHER\n",
      "│       ├── QUETZAL\n",
      "│       ├── RAINBOW LORIKEET\n",
      "│       ├── RAZORBILL\n",
      "│       ├── RED BEARDED BEE EATER\n",
      "│       ├── RED BELLIED PITTA\n",
      "│       ├── RED BROWED FINCH\n",
      "│       ├── RED FACED CORMORANT\n",
      "│       ├── RED FACED WARBLER\n",
      "│       ├── RED HEADED DUCK\n",
      "│       ├── RED HEADED WOODPECKER\n",
      "│       ├── RED HONEY CREEPER\n",
      "│       ├── RED TAILED THRUSH\n",
      "│       ├── RED WINGED BLACKBIRD\n",
      "│       ├── RED WISKERED BULBUL\n",
      "│       ├── REGENT BOWERBIRD\n",
      "│       ├── RING-NECKED PHEASANT\n",
      "│       ├── ROADRUNNER\n",
      "│       ├── ROBIN\n",
      "│       ├── ROCK DOVE\n",
      "│       ├── ROSY FACED LOVEBIRD\n",
      "│       ├── ROUGH LEG BUZZARD\n",
      "│       ├── ROYAL FLYCATCHER\n",
      "│       ├── RUBY THROATED HUMMINGBIRD\n",
      "│       ├── RUFOUS KINGFISHER\n",
      "│       ├── RUFUOS MOTMOT\n",
      "│       ├── SAMATRAN THRUSH\n",
      "│       ├── SAND MARTIN\n",
      "│       ├── SCARLET IBIS\n",
      "│       ├── SCARLET MACAW\n",
      "│       ├── SHOEBILL\n",
      "│       ├── SHORT BILLED DOWITCHER\n",
      "│       ├── SMITHS LONGSPUR\n",
      "│       ├── SNOWY EGRET\n",
      "│       ├── SNOWY OWL\n",
      "│       ├── SORA\n",
      "│       ├── SPANGLED COTINGA\n",
      "│       ├── SPLENDID WREN\n",
      "│       ├── SPOON BILED SANDPIPER\n",
      "│       ├── SPOONBILL\n",
      "│       ├── SRI LANKA BLUE MAGPIE\n",
      "│       ├── STEAMER DUCK\n",
      "│       ├── STORK BILLED KINGFISHER\n",
      "│       ├── STRAWBERRY FINCH\n",
      "│       ├── STRIPPED SWALLOW\n",
      "│       ├── SUPERB STARLING\n",
      "│       ├── SWINHOES PHEASANT\n",
      "│       ├── TAIWAN MAGPIE\n",
      "│       ├── TAKAHE\n",
      "│       ├── TASMANIAN HEN\n",
      "│       ├── TEAL DUCK\n",
      "│       ├── TIT MOUSE\n",
      "│       ├── TOUCHAN\n",
      "│       ├── TOWNSENDS WARBLER\n",
      "│       ├── TREE SWALLOW\n",
      "│       ├── TRUMPTER SWAN\n",
      "│       ├── TURKEY VULTURE\n",
      "│       ├── TURQUOISE MOTMOT\n",
      "│       ├── UMBRELLA BIRD\n",
      "│       ├── VARIED THRUSH\n",
      "│       ├── VENEZUELIAN TROUPIAL\n",
      "│       ├── VERMILION FLYCATHER\n",
      "│       ├── VICTORIA CROWNED PIGEON\n",
      "│       ├── VIOLET GREEN SWALLOW\n",
      "│       ├── VULTURINE GUINEAFOWL\n",
      "│       ├── WATTLED CURASSOW\n",
      "│       ├── WHIMBREL\n",
      "│       ├── WHITE CHEEKED TURACO\n",
      "│       ├── WHITE NECKED RAVEN\n",
      "│       ├── WHITE TAILED TROPIC\n",
      "│       ├── WHITE THROATED BEE EATER\n",
      "│       ├── WILD TURKEY\n",
      "│       ├── WILSONS BIRD OF PARADISE\n",
      "│       ├── WOOD DUCK\n",
      "│       ├── YELLOW BELLIED FLOWERPECKER\n",
      "│       ├── YELLOW CACIQUE\n",
      "│       └── YELLOW HEADED BLACKBIRD\n",
      "└── birds_rev2\n",
      "    ├── images to test\n",
      "    ├── one image to test\n",
      "    ├── test\n",
      "    │   ├── AFRICAN CROWNED CRANE\n",
      "    │   ├── AFRICAN FIREFINCH\n",
      "    │   ├── ALBATROSS\n",
      "    │   ├── ALEXANDRINE PARAKEET\n",
      "    │   ├── AMERICAN AVOCET\n",
      "    │   ├── AMERICAN BITTERN\n",
      "    │   ├── AMERICAN COOT\n",
      "    │   ├── AMERICAN GOLDFINCH\n",
      "    │   ├── AMERICAN KESTREL\n",
      "    │   ├── AMERICAN PIPIT\n",
      "    │   ├── AMERICAN REDSTART\n",
      "    │   ├── ANHINGA\n",
      "    │   ├── ANNAS HUMMINGBIRD\n",
      "    │   ├── ANTBIRD\n",
      "    │   ├── ARARIPE MANAKIN\n",
      "    │   ├── ASIAN CRESTED IBIS\n",
      "    │   ├── BALD EAGLE\n",
      "    │   ├── BALI STARLING\n",
      "    │   ├── BALTIMORE ORIOLE\n",
      "    │   ├── BANANAQUIT\n",
      "    │   ├── BANDED BROADBILL\n",
      "    │   ├── BARN OWL\n",
      "    │   ├── BARN SWALLOW\n",
      "    │   ├── BARRED PUFFBIRD\n",
      "    │   ├── BAR-TAILED GODWIT\n",
      "    │   ├── BAY-BREASTED WARBLER\n",
      "    │   ├── BEARDED BARBET\n",
      "    │   ├── BEARDED REEDLING\n",
      "    │   ├── BELTED KINGFISHER\n",
      "    │   ├── BIRD OF PARADISE\n",
      "    │   ├── BLACKBURNIAM WARBLER\n",
      "    │   ├── BLACK-CAPPED CHICKADEE\n",
      "    │   ├── BLACK FRANCOLIN\n",
      "    │   ├── BLACK-NECKED GREBE\n",
      "    │   ├── BLACK SKIMMER\n",
      "    │   ├── BLACK SWAN\n",
      "    │   ├── BLACK TAIL CRAKE\n",
      "    │   ├── BLACK THROATED BUSHTIT\n",
      "    │   ├── BLACK-THROATED SPARROW\n",
      "    │   ├── BLACK THROATED WARBLER\n",
      "    │   ├── BLACK VULTURE\n",
      "    │   ├── BLACK & YELLOW bROADBILL\n",
      "    │   ├── BLUE GROUSE\n",
      "    │   ├── BLUE HERON\n",
      "    │   ├── BOBOLINK\n",
      "    │   ├── BORNEAN BRISTLEHEAD\n",
      "    │   ├── BORNEAN LEAFBIRD\n",
      "    │   ├── BROWN NOODY\n",
      "    │   ├── BROWN THRASHER\n",
      "    │   ├── BULWERS PHEASANT\n",
      "    │   ├── CACTUS WREN\n",
      "    │   ├── CALIFORNIA CONDOR\n",
      "    │   ├── CALIFORNIA GULL\n",
      "    │   ├── CALIFORNIA QUAIL\n",
      "    │   ├── CANARY\n",
      "    │   ├── CAPE MAY WARBLER\n",
      "    │   ├── CAPUCHINBIRD\n",
      "    │   ├── CARMINE BEE-EATER\n",
      "    │   ├── CASPIAN TERN\n",
      "    │   ├── CASSOWARY\n",
      "    │   ├── CEDAR WAXWING\n",
      "    │   ├── CHARA DE COLLAR\n",
      "    │   ├── CHIPPING SPARROW\n",
      "    │   ├── CHUKAR PARTRIDGE\n",
      "    │   ├── CINNAMON TEAL\n",
      "    │   ├── CLARKS NUTCRACKER\n",
      "    │   ├── COCKATOO\n",
      "    │   ├── COCK OF THE  ROCK\n",
      "    │   ├── COMMON FIRECREST\n",
      "    │   ├── COMMON GRACKLE\n",
      "    │   ├── COMMON HOUSE MARTIN\n",
      "    │   ├── COMMON LOON\n",
      "    │   ├── COMMON POORWILL\n",
      "    │   ├── COMMON STARLING\n",
      "    │   ├── COUCHS KINGBIRD\n",
      "    │   ├── CRESTED AUKLET\n",
      "    │   ├── CRESTED CARACARA\n",
      "    │   ├── CRESTED NUTHATCH\n",
      "    │   ├── CROW\n",
      "    │   ├── CROWNED PIGEON\n",
      "    │   ├── CUBAN TODY\n",
      "    │   ├── CURL CRESTED ARACURI\n",
      "    │   ├── DARK EYED JUNCO\n",
      "    │   ├── D-ARNAUDS BARBET\n",
      "    │   ├── DOUBLE BARRED FINCH\n",
      "    │   ├── DOWNY WOODPECKER\n",
      "    │   ├── EASTERN BLUEBIRD\n",
      "    │   ├── EASTERN MEADOWLARK\n",
      "    │   ├── EASTERN ROSELLA\n",
      "    │   ├── EASTERN TOWEE\n",
      "    │   ├── ELEGANT TROGON\n",
      "    │   ├── ELLIOTS  PHEASANT\n",
      "    │   ├── EMPEROR PENGUIN\n",
      "    │   ├── EMU\n",
      "    │   ├── ENGGANO MYNA\n",
      "    │   ├── EURASIAN GOLDEN ORIOLE\n",
      "    │   ├── EURASIAN MAGPIE\n",
      "    │   ├── EVENING GROSBEAK\n",
      "    │   ├── FIRE TAILLED MYZORNIS\n",
      "    │   ├── FLAME TANAGER\n",
      "    │   ├── FLAMINGO\n",
      "    │   ├── FRIGATE\n",
      "    │   ├── GAMBELS QUAIL\n",
      "    │   ├── GANG GANG COCKATOO\n",
      "    │   ├── GILA WOODPECKER\n",
      "    │   ├── GILDED FLICKER\n",
      "    │   ├── GLOSSY IBIS\n",
      "    │   ├── GO AWAY BIRD\n",
      "    │   ├── GOLDEN CHEEKED WARBLER\n",
      "    │   ├── GOLDEN CHLOROPHONIA\n",
      "    │   ├── GOLDEN EAGLE\n",
      "    │   ├── GOLDEN PHEASANT\n",
      "    │   ├── GOLDEN PIPIT\n",
      "    │   ├── GOLD WING WARBLER\n",
      "    │   ├── GOULDIAN FINCH\n",
      "    │   ├── GRAY CATBIRD\n",
      "    │   ├── GRAY PARTRIDGE\n",
      "    │   ├── GREATOR SAGE GROUSE\n",
      "    │   ├── GREAT POTOO\n",
      "    │   ├── GREEN JAY\n",
      "    │   ├── GREEN MAGPIE\n",
      "    │   ├── GREY PLOVER\n",
      "    │   ├── GUINEAFOWL\n",
      "    │   ├── GUINEA TURACO\n",
      "    │   ├── GYRFALCON\n",
      "    │   ├── HARPY EAGLE\n",
      "    │   ├── HAWAIIAN GOOSE\n",
      "    │   ├── HELMET VANGA\n",
      "    │   ├── HIMALAYAN MONAL\n",
      "    │   ├── HOATZIN\n",
      "    │   ├── HOODED MERGANSER\n",
      "    │   ├── HOOPOES\n",
      "    │   ├── HORNBILL\n",
      "    │   ├── HORNED GUAN\n",
      "    │   ├── HORNED SUNGEM\n",
      "    │   ├── HOUSE FINCH\n",
      "    │   ├── HOUSE SPARROW\n",
      "    │   ├── IMPERIAL SHAQ\n",
      "    │   ├── INCA TERN\n",
      "    │   ├── INDIAN BUSTARD\n",
      "    │   ├── INDIAN PITTA\n",
      "    │   ├── INDIGO BUNTING\n",
      "    │   ├── JABIRU\n",
      "    │   ├── JAVA SPARROW\n",
      "    │   ├── KAKAPO\n",
      "    │   ├── KILLDEAR\n",
      "    │   ├── KING VULTURE\n",
      "    │   ├── KIWI\n",
      "    │   ├── KOOKABURRA\n",
      "    │   ├── LARK BUNTING\n",
      "    │   ├── LEARS MACAW\n",
      "    │   ├── LILAC ROLLER\n",
      "    │   ├── LONG-EARED OWL\n",
      "    │   ├── MAGPIE GOOSE\n",
      "    │   ├── MALABAR HORNBILL\n",
      "    │   ├── MALACHITE KINGFISHER\n",
      "    │   ├── MALEO\n",
      "    │   ├── MALLARD DUCK\n",
      "    │   ├── MANDRIN DUCK\n",
      "    │   ├── MARABOU STORK\n",
      "    │   ├── MASKED BOOBY\n",
      "    │   ├── MASKED LAPWING\n",
      "    │   ├── MIKADO  PHEASANT\n",
      "    │   ├── MOURNING DOVE\n",
      "    │   ├── MYNA\n",
      "    │   ├── NICOBAR PIGEON\n",
      "    │   ├── NOISY FRIARBIRD\n",
      "    │   ├── NORTHERN BALD IBIS\n",
      "    │   ├── NORTHERN CARDINAL\n",
      "    │   ├── NORTHERN FLICKER\n",
      "    │   ├── NORTHERN GANNET\n",
      "    │   ├── NORTHERN GOSHAWK\n",
      "    │   ├── NORTHERN JACANA\n",
      "    │   ├── NORTHERN MOCKINGBIRD\n",
      "    │   ├── NORTHERN PARULA\n",
      "    │   ├── NORTHERN RED BISHOP\n",
      "    │   ├── NORTHERN SHOVELER\n",
      "    │   ├── OCELLATED TURKEY\n",
      "    │   ├── OKINAWA RAIL\n",
      "    │   ├── OSPREY\n",
      "    │   ├── OSTRICH\n",
      "    │   ├── OVENBIRD\n",
      "    │   ├── OYSTER CATCHER\n",
      "    │   ├── PAINTED BUNTIG\n",
      "    │   ├── PALILA\n",
      "    │   ├── PARADISE TANAGER\n",
      "    │   ├── PARAKETT  AKULET\n",
      "    │   ├── PARUS MAJOR\n",
      "    │   ├── PEACOCK\n",
      "    │   ├── PELICAN\n",
      "    │   ├── PEREGRINE FALCON\n",
      "    │   ├── PHILIPPINE EAGLE\n",
      "    │   ├── PINK ROBIN\n",
      "    │   ├── PUFFIN\n",
      "    │   ├── PURPLE FINCH\n",
      "    │   ├── PURPLE GALLINULE\n",
      "    │   ├── PURPLE MARTIN\n",
      "    │   ├── PURPLE SWAMPHEN\n",
      "    │   ├── PYGMY KINGFISHER\n",
      "    │   ├── QUETZAL\n",
      "    │   ├── RAINBOW LORIKEET\n",
      "    │   ├── RAZORBILL\n",
      "    │   ├── RED BEARDED BEE EATER\n",
      "    │   ├── RED BELLIED PITTA\n",
      "    │   ├── RED BROWED FINCH\n",
      "    │   ├── RED FACED CORMORANT\n",
      "    │   ├── RED FACED WARBLER\n",
      "    │   ├── RED HEADED DUCK\n",
      "    │   ├── RED HEADED WOODPECKER\n",
      "    │   ├── RED HONEY CREEPER\n",
      "    │   ├── RED TAILED THRUSH\n",
      "    │   ├── RED WINGED BLACKBIRD\n",
      "    │   ├── RED WISKERED BULBUL\n",
      "    │   ├── REGENT BOWERBIRD\n",
      "    │   ├── RING-NECKED PHEASANT\n",
      "    │   ├── ROADRUNNER\n",
      "    │   ├── ROBIN\n",
      "    │   ├── ROCK DOVE\n",
      "    │   ├── ROSY FACED LOVEBIRD\n",
      "    │   ├── ROUGH LEG BUZZARD\n",
      "    │   ├── ROYAL FLYCATCHER\n",
      "    │   ├── RUBY THROATED HUMMINGBIRD\n",
      "    │   ├── RUFOUS KINGFISHER\n",
      "    │   ├── RUFUOS MOTMOT\n",
      "    │   ├── SAMATRAN THRUSH\n",
      "    │   ├── SAND MARTIN\n",
      "    │   ├── SCARLET IBIS\n",
      "    │   ├── SCARLET MACAW\n",
      "    │   ├── SHOEBILL\n",
      "    │   ├── SHORT BILLED DOWITCHER\n",
      "    │   ├── SMITHS LONGSPUR\n",
      "    │   ├── SNOWY EGRET\n",
      "    │   ├── SNOWY OWL\n",
      "    │   ├── SORA\n",
      "    │   ├── SPANGLED COTINGA\n",
      "    │   ├── SPLENDID WREN\n",
      "    │   ├── SPOON BILED SANDPIPER\n",
      "    │   ├── SPOONBILL\n",
      "    │   ├── SRI LANKA BLUE MAGPIE\n",
      "    │   ├── STEAMER DUCK\n",
      "    │   ├── STORK BILLED KINGFISHER\n",
      "    │   ├── STRAWBERRY FINCH\n",
      "    │   ├── STRIPPED SWALLOW\n",
      "    │   ├── SUPERB STARLING\n",
      "    │   ├── SWINHOES PHEASANT\n",
      "    │   ├── TAIWAN MAGPIE\n",
      "    │   ├── TAKAHE\n",
      "    │   ├── TASMANIAN HEN\n",
      "    │   ├── TEAL DUCK\n",
      "    │   ├── TIT MOUSE\n",
      "    │   ├── TOUCHAN\n",
      "    │   ├── TOWNSENDS WARBLER\n",
      "    │   ├── TREE SWALLOW\n",
      "    │   ├── TRUMPTER SWAN\n",
      "    │   ├── TURKEY VULTURE\n",
      "    │   ├── TURQUOISE MOTMOT\n",
      "    │   ├── UMBRELLA BIRD\n",
      "    │   ├── VARIED THRUSH\n",
      "    │   ├── VENEZUELIAN TROUPIAL\n",
      "    │   ├── VERMILION FLYCATHER\n",
      "    │   ├── VICTORIA CROWNED PIGEON\n",
      "    │   ├── VIOLET GREEN SWALLOW\n",
      "    │   ├── VULTURINE GUINEAFOWL\n",
      "    │   ├── WATTLED CURASSOW\n",
      "    │   ├── WHIMBREL\n",
      "    │   ├── WHITE CHEEKED TURACO\n",
      "    │   ├── WHITE NECKED RAVEN\n",
      "    │   ├── WHITE TAILED TROPIC\n",
      "    │   ├── WHITE THROATED BEE EATER\n",
      "    │   ├── WILD TURKEY\n",
      "    │   ├── WILSONS BIRD OF PARADISE\n",
      "    │   ├── WOOD DUCK\n",
      "    │   ├── YELLOW BELLIED FLOWERPECKER\n",
      "    │   ├── YELLOW CACIQUE\n",
      "    │   └── YELLOW HEADED BLACKBIRD\n",
      "    ├── train\n",
      "    │   ├── AFRICAN CROWNED CRANE\n",
      "    │   ├── AFRICAN FIREFINCH\n",
      "    │   ├── ALBATROSS\n",
      "    │   ├── ALEXANDRINE PARAKEET\n",
      "    │   ├── AMERICAN AVOCET\n",
      "    │   ├── AMERICAN BITTERN\n",
      "    │   ├── AMERICAN COOT\n",
      "    │   ├── AMERICAN GOLDFINCH\n",
      "    │   ├── AMERICAN KESTREL\n",
      "    │   ├── AMERICAN PIPIT\n",
      "    │   ├── AMERICAN REDSTART\n",
      "    │   ├── ANHINGA\n",
      "    │   ├── ANNAS HUMMINGBIRD\n",
      "    │   ├── ANTBIRD\n",
      "    │   ├── ARARIPE MANAKIN\n",
      "    │   ├── ASIAN CRESTED IBIS\n",
      "    │   ├── BALD EAGLE\n",
      "    │   ├── BALI STARLING\n",
      "    │   ├── BALTIMORE ORIOLE\n",
      "    │   ├── BANANAQUIT\n",
      "    │   ├── BANDED BROADBILL\n",
      "    │   ├── BARN OWL\n",
      "    │   ├── BARN SWALLOW\n",
      "    │   ├── BARRED PUFFBIRD\n",
      "    │   ├── BAR-TAILED GODWIT\n",
      "    │   ├── BAY-BREASTED WARBLER\n",
      "    │   ├── BEARDED BARBET\n",
      "    │   ├── BEARDED REEDLING\n",
      "    │   ├── BELTED KINGFISHER\n",
      "    │   ├── BIRD OF PARADISE\n",
      "    │   ├── BLACKBURNIAM WARBLER\n",
      "    │   ├── BLACK-CAPPED CHICKADEE\n",
      "    │   ├── BLACK FRANCOLIN\n",
      "    │   ├── BLACK-NECKED GREBE\n",
      "    │   ├── BLACK SKIMMER\n",
      "    │   ├── BLACK SWAN\n",
      "    │   ├── BLACK TAIL CRAKE\n",
      "    │   ├── BLACK THROATED BUSHTIT\n",
      "    │   ├── BLACK-THROATED SPARROW\n",
      "    │   ├── BLACK THROATED WARBLER\n",
      "    │   ├── BLACK VULTURE\n",
      "    │   ├── BLACK & YELLOW bROADBILL\n",
      "    │   ├── BLUE GROUSE\n",
      "    │   ├── BLUE HERON\n",
      "    │   ├── BOBOLINK\n",
      "    │   ├── BORNEAN BRISTLEHEAD\n",
      "    │   ├── BORNEAN LEAFBIRD\n",
      "    │   ├── BROWN NOODY\n",
      "    │   ├── BROWN THRASHER\n",
      "    │   ├── BULWERS PHEASANT\n",
      "    │   ├── CACTUS WREN\n",
      "    │   ├── CALIFORNIA CONDOR\n",
      "    │   ├── CALIFORNIA GULL\n",
      "    │   ├── CALIFORNIA QUAIL\n",
      "    │   ├── CANARY\n",
      "    │   ├── CAPE MAY WARBLER\n",
      "    │   ├── CAPUCHINBIRD\n",
      "    │   ├── CARMINE BEE-EATER\n",
      "    │   ├── CASPIAN TERN\n",
      "    │   ├── CASSOWARY\n",
      "    │   ├── CEDAR WAXWING\n",
      "    │   ├── CHARA DE COLLAR\n",
      "    │   ├── CHIPPING SPARROW\n",
      "    │   ├── CHUKAR PARTRIDGE\n",
      "    │   ├── CINNAMON TEAL\n",
      "    │   ├── CLARKS NUTCRACKER\n",
      "    │   ├── COCKATOO\n",
      "    │   ├── COCK OF THE  ROCK\n",
      "    │   ├── COMMON FIRECREST\n",
      "    │   ├── COMMON GRACKLE\n",
      "    │   ├── COMMON HOUSE MARTIN\n",
      "    │   ├── COMMON LOON\n",
      "    │   ├── COMMON POORWILL\n",
      "    │   ├── COMMON STARLING\n",
      "    │   ├── COUCHS KINGBIRD\n",
      "    │   ├── CRESTED AUKLET\n",
      "    │   ├── CRESTED CARACARA\n",
      "    │   ├── CRESTED NUTHATCH\n",
      "    │   ├── CROW\n",
      "    │   ├── CROWNED PIGEON\n",
      "    │   ├── CUBAN TODY\n",
      "    │   ├── CURL CRESTED ARACURI\n",
      "    │   ├── DARK EYED JUNCO\n",
      "    │   ├── D-ARNAUDS BARBET\n",
      "    │   ├── DOUBLE BARRED FINCH\n",
      "    │   ├── DOWNY WOODPECKER\n",
      "    │   ├── EASTERN BLUEBIRD\n",
      "    │   ├── EASTERN MEADOWLARK\n",
      "    │   ├── EASTERN ROSELLA\n",
      "    │   ├── EASTERN TOWEE\n",
      "    │   ├── ELEGANT TROGON\n",
      "    │   ├── ELLIOTS  PHEASANT\n",
      "    │   ├── EMPEROR PENGUIN\n",
      "    │   ├── EMU\n",
      "    │   ├── ENGGANO MYNA\n",
      "    │   ├── EURASIAN GOLDEN ORIOLE\n",
      "    │   ├── EURASIAN MAGPIE\n",
      "    │   ├── EVENING GROSBEAK\n",
      "    │   ├── FIRE TAILLED MYZORNIS\n",
      "    │   ├── FLAME TANAGER\n",
      "    │   ├── FLAMINGO\n",
      "    │   ├── FRIGATE\n",
      "    │   ├── GAMBELS QUAIL\n",
      "    │   ├── GANG GANG COCKATOO\n",
      "    │   ├── GILA WOODPECKER\n",
      "    │   ├── GILDED FLICKER\n",
      "    │   ├── GLOSSY IBIS\n",
      "    │   ├── GO AWAY BIRD\n",
      "    │   ├── GOLDEN CHEEKED WARBLER\n",
      "    │   ├── GOLDEN CHLOROPHONIA\n",
      "    │   ├── GOLDEN EAGLE\n",
      "    │   ├── GOLDEN PHEASANT\n",
      "    │   ├── GOLDEN PIPIT\n",
      "    │   ├── GOLD WING WARBLER\n",
      "    │   ├── GOULDIAN FINCH\n",
      "    │   ├── GRAY CATBIRD\n",
      "    │   ├── GRAY PARTRIDGE\n",
      "    │   ├── GREATOR SAGE GROUSE\n",
      "    │   ├── GREAT POTOO\n",
      "    │   ├── GREEN JAY\n",
      "    │   ├── GREEN MAGPIE\n",
      "    │   ├── GREY PLOVER\n",
      "    │   ├── GUINEAFOWL\n",
      "    │   ├── GUINEA TURACO\n",
      "    │   ├── GYRFALCON\n",
      "    │   ├── HARPY EAGLE\n",
      "    │   ├── HAWAIIAN GOOSE\n",
      "    │   ├── HELMET VANGA\n",
      "    │   ├── HIMALAYAN MONAL\n",
      "    │   ├── HOATZIN\n",
      "    │   ├── HOODED MERGANSER\n",
      "    │   ├── HOOPOES\n",
      "    │   ├── HORNBILL\n",
      "    │   ├── HORNED GUAN\n",
      "    │   ├── HORNED SUNGEM\n",
      "    │   ├── HOUSE FINCH\n",
      "    │   ├── HOUSE SPARROW\n",
      "    │   ├── IMPERIAL SHAQ\n",
      "    │   ├── INCA TERN\n",
      "    │   ├── INDIAN BUSTARD\n",
      "    │   ├── INDIAN PITTA\n",
      "    │   ├── INDIGO BUNTING\n",
      "    │   ├── JABIRU\n",
      "    │   ├── JAVA SPARROW\n",
      "    │   ├── KAKAPO\n",
      "    │   ├── KILLDEAR\n",
      "    │   ├── KING VULTURE\n",
      "    │   ├── KIWI\n",
      "    │   ├── KOOKABURRA\n",
      "    │   ├── LARK BUNTING\n",
      "    │   ├── LEARS MACAW\n",
      "    │   ├── LILAC ROLLER\n",
      "    │   ├── LONG-EARED OWL\n",
      "    │   ├── MAGPIE GOOSE\n",
      "    │   ├── MALABAR HORNBILL\n",
      "    │   ├── MALACHITE KINGFISHER\n",
      "    │   ├── MALEO\n",
      "    │   ├── MALLARD DUCK\n",
      "    │   ├── MANDRIN DUCK\n",
      "    │   ├── MARABOU STORK\n",
      "    │   ├── MASKED BOOBY\n",
      "    │   ├── MASKED LAPWING\n",
      "    │   ├── MIKADO  PHEASANT\n",
      "    │   ├── MOURNING DOVE\n",
      "    │   ├── MYNA\n",
      "    │   ├── NICOBAR PIGEON\n",
      "    │   ├── NOISY FRIARBIRD\n",
      "    │   ├── NORTHERN BALD IBIS\n",
      "    │   ├── NORTHERN CARDINAL\n",
      "    │   ├── NORTHERN FLICKER\n",
      "    │   ├── NORTHERN GANNET\n",
      "    │   ├── NORTHERN GOSHAWK\n",
      "    │   ├── NORTHERN JACANA\n",
      "    │   ├── NORTHERN MOCKINGBIRD\n",
      "    │   ├── NORTHERN PARULA\n",
      "    │   ├── NORTHERN RED BISHOP\n",
      "    │   ├── NORTHERN SHOVELER\n",
      "    │   ├── OCELLATED TURKEY\n",
      "    │   ├── OKINAWA RAIL\n",
      "    │   ├── OSPREY\n",
      "    │   ├── OSTRICH\n",
      "    │   ├── OVENBIRD\n",
      "    │   ├── OYSTER CATCHER\n",
      "    │   ├── PAINTED BUNTIG\n",
      "    │   ├── PALILA\n",
      "    │   ├── PARADISE TANAGER\n",
      "    │   ├── PARAKETT  AKULET\n",
      "    │   ├── PARUS MAJOR\n",
      "    │   ├── PEACOCK\n",
      "    │   ├── PELICAN\n",
      "    │   ├── PEREGRINE FALCON\n",
      "    │   ├── PHILIPPINE EAGLE\n",
      "    │   ├── PINK ROBIN\n",
      "    │   ├── PUFFIN\n",
      "    │   ├── PURPLE FINCH\n",
      "    │   ├── PURPLE GALLINULE\n",
      "    │   ├── PURPLE MARTIN\n",
      "    │   ├── PURPLE SWAMPHEN\n",
      "    │   ├── PYGMY KINGFISHER\n",
      "    │   ├── QUETZAL\n",
      "    │   ├── RAINBOW LORIKEET\n",
      "    │   ├── RAZORBILL\n",
      "    │   ├── RED BEARDED BEE EATER\n",
      "    │   ├── RED BELLIED PITTA\n",
      "    │   ├── RED BROWED FINCH\n",
      "    │   ├── RED FACED CORMORANT\n",
      "    │   ├── RED FACED WARBLER\n",
      "    │   ├── RED HEADED DUCK\n",
      "    │   ├── RED HEADED WOODPECKER\n",
      "    │   ├── RED HONEY CREEPER\n",
      "    │   ├── RED TAILED THRUSH\n",
      "    │   ├── RED WINGED BLACKBIRD\n",
      "    │   ├── RED WISKERED BULBUL\n",
      "    │   ├── REGENT BOWERBIRD\n",
      "    │   ├── RING-NECKED PHEASANT\n",
      "    │   ├── ROADRUNNER\n",
      "    │   ├── ROBIN\n",
      "    │   ├── ROCK DOVE\n",
      "    │   ├── ROSY FACED LOVEBIRD\n",
      "    │   ├── ROUGH LEG BUZZARD\n",
      "    │   ├── ROYAL FLYCATCHER\n",
      "    │   ├── RUBY THROATED HUMMINGBIRD\n",
      "    │   ├── RUFOUS KINGFISHER\n",
      "    │   ├── RUFUOS MOTMOT\n",
      "    │   ├── SAMATRAN THRUSH\n",
      "    │   ├── SAND MARTIN\n",
      "    │   ├── SCARLET IBIS\n",
      "    │   ├── SCARLET MACAW\n",
      "    │   ├── SHOEBILL\n",
      "    │   ├── SHORT BILLED DOWITCHER\n",
      "    │   ├── SMITHS LONGSPUR\n",
      "    │   ├── SNOWY EGRET\n",
      "    │   ├── SNOWY OWL\n",
      "    │   ├── SORA\n",
      "    │   ├── SPANGLED COTINGA\n",
      "    │   ├── SPLENDID WREN\n",
      "    │   ├── SPOON BILED SANDPIPER\n",
      "    │   ├── SPOONBILL\n",
      "    │   ├── SRI LANKA BLUE MAGPIE\n",
      "    │   ├── STEAMER DUCK\n",
      "    │   ├── STORK BILLED KINGFISHER\n",
      "    │   ├── STRAWBERRY FINCH\n",
      "    │   ├── STRIPPED SWALLOW\n",
      "    │   ├── SUPERB STARLING\n",
      "    │   ├── SWINHOES PHEASANT\n",
      "    │   ├── TAIWAN MAGPIE\n",
      "    │   ├── TAKAHE\n",
      "    │   ├── TASMANIAN HEN\n",
      "    │   ├── TEAL DUCK\n",
      "    │   ├── TIT MOUSE\n",
      "    │   ├── TOUCHAN\n",
      "    │   ├── TOWNSENDS WARBLER\n",
      "    │   ├── TREE SWALLOW\n",
      "    │   ├── TRUMPTER SWAN\n",
      "    │   ├── TURKEY VULTURE\n",
      "    │   ├── TURQUOISE MOTMOT\n",
      "    │   ├── UMBRELLA BIRD\n",
      "    │   ├── VARIED THRUSH\n",
      "    │   ├── VENEZUELIAN TROUPIAL\n",
      "    │   ├── VERMILION FLYCATHER\n",
      "    │   ├── VICTORIA CROWNED PIGEON\n",
      "    │   ├── VIOLET GREEN SWALLOW\n",
      "    │   ├── VULTURINE GUINEAFOWL\n",
      "    │   ├── WATTLED CURASSOW\n",
      "    │   ├── WHIMBREL\n",
      "    │   ├── WHITE CHEEKED TURACO\n",
      "    │   ├── WHITE NECKED RAVEN\n",
      "    │   ├── WHITE TAILED TROPIC\n",
      "    │   ├── WHITE THROATED BEE EATER\n",
      "    │   ├── WILD TURKEY\n",
      "    │   ├── WILSONS BIRD OF PARADISE\n",
      "    │   ├── WOOD DUCK\n",
      "    │   ├── YELLOW BELLIED FLOWERPECKER\n",
      "    │   ├── YELLOW CACIQUE\n",
      "    │   └── YELLOW HEADED BLACKBIRD\n",
      "    └── valid\n",
      "        ├── AFRICAN CROWNED CRANE\n",
      "        ├── AFRICAN FIREFINCH\n",
      "        ├── ALBATROSS\n",
      "        ├── ALEXANDRINE PARAKEET\n",
      "        ├── AMERICAN AVOCET\n",
      "        ├── AMERICAN BITTERN\n",
      "        ├── AMERICAN COOT\n",
      "        ├── AMERICAN GOLDFINCH\n",
      "        ├── AMERICAN KESTREL\n",
      "        ├── AMERICAN PIPIT\n",
      "        ├── AMERICAN REDSTART\n",
      "        ├── ANHINGA\n",
      "        ├── ANNAS HUMMINGBIRD\n",
      "        ├── ANTBIRD\n",
      "        ├── ARARIPE MANAKIN\n",
      "        ├── ASIAN CRESTED IBIS\n",
      "        ├── BALD EAGLE\n",
      "        ├── BALI STARLING\n",
      "        ├── BALTIMORE ORIOLE\n",
      "        ├── BANANAQUIT\n",
      "        ├── BANDED BROADBILL\n",
      "        ├── BARN OWL\n",
      "        ├── BARN SWALLOW\n",
      "        ├── BARRED PUFFBIRD\n",
      "        ├── BAR-TAILED GODWIT\n",
      "        ├── BAY-BREASTED WARBLER\n",
      "        ├── BEARDED BARBET\n",
      "        ├── BEARDED REEDLING\n",
      "        ├── BELTED KINGFISHER\n",
      "        ├── BIRD OF PARADISE\n",
      "        ├── BLACKBURNIAM WARBLER\n",
      "        ├── BLACK-CAPPED CHICKADEE\n",
      "        ├── BLACK FRANCOLIN\n",
      "        ├── BLACK-NECKED GREBE\n",
      "        ├── BLACK SKIMMER\n",
      "        ├── BLACK SWAN\n",
      "        ├── BLACK TAIL CRAKE\n",
      "        ├── BLACK THROATED BUSHTIT\n",
      "        ├── BLACK-THROATED SPARROW\n",
      "        ├── BLACK THROATED WARBLER\n",
      "        ├── BLACK VULTURE\n",
      "        ├── BLACK & YELLOW bROADBILL\n",
      "        ├── BLUE GROUSE\n",
      "        ├── BLUE HERON\n",
      "        ├── BOBOLINK\n",
      "        ├── BORNEAN BRISTLEHEAD\n",
      "        ├── BORNEAN LEAFBIRD\n",
      "        ├── BROWN NOODY\n",
      "        ├── BROWN THRASHER\n",
      "        ├── BULWERS PHEASANT\n",
      "        ├── CACTUS WREN\n",
      "        ├── CALIFORNIA CONDOR\n",
      "        ├── CALIFORNIA GULL\n",
      "        ├── CALIFORNIA QUAIL\n",
      "        ├── CANARY\n",
      "        ├── CAPE MAY WARBLER\n",
      "        ├── CAPUCHINBIRD\n",
      "        ├── CARMINE BEE-EATER\n",
      "        ├── CASPIAN TERN\n",
      "        ├── CASSOWARY\n",
      "        ├── CEDAR WAXWING\n",
      "        ├── CHARA DE COLLAR\n",
      "        ├── CHIPPING SPARROW\n",
      "        ├── CHUKAR PARTRIDGE\n",
      "        ├── CINNAMON TEAL\n",
      "        ├── CLARKS NUTCRACKER\n",
      "        ├── COCKATOO\n",
      "        ├── COCK OF THE  ROCK\n",
      "        ├── COMMON FIRECREST\n",
      "        ├── COMMON GRACKLE\n",
      "        ├── COMMON HOUSE MARTIN\n",
      "        ├── COMMON LOON\n",
      "        ├── COMMON POORWILL\n",
      "        ├── COMMON STARLING\n",
      "        ├── COUCHS KINGBIRD\n",
      "        ├── CRESTED AUKLET\n",
      "        ├── CRESTED CARACARA\n",
      "        ├── CRESTED NUTHATCH\n",
      "        ├── CROW\n",
      "        ├── CROWNED PIGEON\n",
      "        ├── CUBAN TODY\n",
      "        ├── CURL CRESTED ARACURI\n",
      "        ├── DARK EYED JUNCO\n",
      "        ├── D-ARNAUDS BARBET\n",
      "        ├── DOUBLE BARRED FINCH\n",
      "        ├── DOWNY WOODPECKER\n",
      "        ├── EASTERN BLUEBIRD\n",
      "        ├── EASTERN MEADOWLARK\n",
      "        ├── EASTERN ROSELLA\n",
      "        ├── EASTERN TOWEE\n",
      "        ├── ELEGANT TROGON\n",
      "        ├── ELLIOTS  PHEASANT\n",
      "        ├── EMPEROR PENGUIN\n",
      "        ├── EMU\n",
      "        ├── ENGGANO MYNA\n",
      "        ├── EURASIAN GOLDEN ORIOLE\n",
      "        ├── EURASIAN MAGPIE\n",
      "        ├── EVENING GROSBEAK\n",
      "        ├── FIRE TAILLED MYZORNIS\n",
      "        ├── FLAME TANAGER\n",
      "        ├── FLAMINGO\n",
      "        ├── FRIGATE\n",
      "        ├── GAMBELS QUAIL\n",
      "        ├── GANG GANG COCKATOO\n",
      "        ├── GILA WOODPECKER\n",
      "        ├── GILDED FLICKER\n",
      "        ├── GLOSSY IBIS\n",
      "        ├── GO AWAY BIRD\n",
      "        ├── GOLDEN CHEEKED WARBLER\n",
      "        ├── GOLDEN CHLOROPHONIA\n",
      "        ├── GOLDEN EAGLE\n",
      "        ├── GOLDEN PHEASANT\n",
      "        ├── GOLDEN PIPIT\n",
      "        ├── GOLD WING WARBLER\n",
      "        ├── GOULDIAN FINCH\n",
      "        ├── GRAY CATBIRD\n",
      "        ├── GRAY PARTRIDGE\n",
      "        ├── GREATOR SAGE GROUSE\n",
      "        ├── GREAT POTOO\n",
      "        ├── GREEN JAY\n",
      "        ├── GREEN MAGPIE\n",
      "        ├── GREY PLOVER\n",
      "        ├── GUINEAFOWL\n",
      "        ├── GUINEA TURACO\n",
      "        ├── GYRFALCON\n",
      "        ├── HARPY EAGLE\n",
      "        ├── HAWAIIAN GOOSE\n",
      "        ├── HELMET VANGA\n",
      "        ├── HIMALAYAN MONAL\n",
      "        ├── HOATZIN\n",
      "        ├── HOODED MERGANSER\n",
      "        ├── HOOPOES\n",
      "        ├── HORNBILL\n",
      "        ├── HORNED GUAN\n",
      "        ├── HORNED SUNGEM\n",
      "        ├── HOUSE FINCH\n",
      "        ├── HOUSE SPARROW\n",
      "        ├── IMPERIAL SHAQ\n",
      "        ├── INCA TERN\n",
      "        ├── INDIAN BUSTARD\n",
      "        ├── INDIAN PITTA\n",
      "        ├── INDIGO BUNTING\n",
      "        ├── JABIRU\n",
      "        ├── JAVA SPARROW\n",
      "        ├── KAKAPO\n",
      "        ├── KILLDEAR\n",
      "        ├── KING VULTURE\n",
      "        ├── KIWI\n",
      "        ├── KOOKABURRA\n",
      "        ├── LARK BUNTING\n",
      "        ├── LEARS MACAW\n",
      "        ├── LILAC ROLLER\n",
      "        ├── LONG-EARED OWL\n",
      "        ├── MAGPIE GOOSE\n",
      "        ├── MALABAR HORNBILL\n",
      "        ├── MALACHITE KINGFISHER\n",
      "        ├── MALEO\n",
      "        ├── MALLARD DUCK\n",
      "        ├── MANDRIN DUCK\n",
      "        ├── MARABOU STORK\n",
      "        ├── MASKED BOOBY\n",
      "        ├── MASKED LAPWING\n",
      "        ├── MIKADO  PHEASANT\n",
      "        ├── MOURNING DOVE\n",
      "        ├── MYNA\n",
      "        ├── NICOBAR PIGEON\n",
      "        ├── NOISY FRIARBIRD\n",
      "        ├── NORTHERN BALD IBIS\n",
      "        ├── NORTHERN CARDINAL\n",
      "        ├── NORTHERN FLICKER\n",
      "        ├── NORTHERN GANNET\n",
      "        ├── NORTHERN GOSHAWK\n",
      "        ├── NORTHERN JACANA\n",
      "        ├── NORTHERN MOCKINGBIRD\n",
      "        ├── NORTHERN PARULA\n",
      "        ├── NORTHERN RED BISHOP\n",
      "        ├── NORTHERN SHOVELER\n",
      "        ├── OCELLATED TURKEY\n",
      "        ├── OKINAWA RAIL\n",
      "        ├── OSPREY\n",
      "        ├── OSTRICH\n",
      "        ├── OVENBIRD\n",
      "        ├── OYSTER CATCHER\n",
      "        ├── PAINTED BUNTIG\n",
      "        ├── PALILA\n",
      "        ├── PARADISE TANAGER\n",
      "        ├── PARAKETT  AKULET\n",
      "        ├── PARUS MAJOR\n",
      "        ├── PEACOCK\n",
      "        ├── PELICAN\n",
      "        ├── PEREGRINE FALCON\n",
      "        ├── PHILIPPINE EAGLE\n",
      "        ├── PINK ROBIN\n",
      "        ├── PUFFIN\n",
      "        ├── PURPLE FINCH\n",
      "        ├── PURPLE GALLINULE\n",
      "        ├── PURPLE MARTIN\n",
      "        ├── PURPLE SWAMPHEN\n",
      "        ├── PYGMY KINGFISHER\n",
      "        ├── QUETZAL\n",
      "        ├── RAINBOW LORIKEET\n",
      "        ├── RAZORBILL\n",
      "        ├── RED BEARDED BEE EATER\n",
      "        ├── RED BELLIED PITTA\n",
      "        ├── RED BROWED FINCH\n",
      "        ├── RED FACED CORMORANT\n",
      "        ├── RED FACED WARBLER\n",
      "        ├── RED HEADED DUCK\n",
      "        ├── RED HEADED WOODPECKER\n",
      "        ├── RED HONEY CREEPER\n",
      "        ├── RED TAILED THRUSH\n",
      "        ├── RED WINGED BLACKBIRD\n",
      "        ├── RED WISKERED BULBUL\n",
      "        ├── REGENT BOWERBIRD\n",
      "        ├── RING-NECKED PHEASANT\n",
      "        ├── ROADRUNNER\n",
      "        ├── ROBIN\n",
      "        ├── ROCK DOVE\n",
      "        ├── ROSY FACED LOVEBIRD\n",
      "        ├── ROUGH LEG BUZZARD\n",
      "        ├── ROYAL FLYCATCHER\n",
      "        ├── RUBY THROATED HUMMINGBIRD\n",
      "        ├── RUFOUS KINGFISHER\n",
      "        ├── RUFUOS MOTMOT\n",
      "        ├── SAMATRAN THRUSH\n",
      "        ├── SAND MARTIN\n",
      "        ├── SCARLET IBIS\n",
      "        ├── SCARLET MACAW\n",
      "        ├── SHOEBILL\n",
      "        ├── SHORT BILLED DOWITCHER\n",
      "        ├── SMITHS LONGSPUR\n",
      "        ├── SNOWY EGRET\n",
      "        ├── SNOWY OWL\n",
      "        ├── SORA\n",
      "        ├── SPANGLED COTINGA\n",
      "        ├── SPLENDID WREN\n",
      "        ├── SPOON BILED SANDPIPER\n",
      "        ├── SPOONBILL\n",
      "        ├── SRI LANKA BLUE MAGPIE\n",
      "        ├── STEAMER DUCK\n",
      "        ├── STORK BILLED KINGFISHER\n",
      "        ├── STRAWBERRY FINCH\n",
      "        ├── STRIPPED SWALLOW\n",
      "        ├── SUPERB STARLING\n",
      "        ├── SWINHOES PHEASANT\n",
      "        ├── TAIWAN MAGPIE\n",
      "        ├── TAKAHE\n",
      "        ├── TASMANIAN HEN\n",
      "        ├── TEAL DUCK\n",
      "        ├── TIT MOUSE\n",
      "        ├── TOUCHAN\n",
      "        ├── TOWNSENDS WARBLER\n",
      "        ├── TREE SWALLOW\n",
      "        ├── TRUMPTER SWAN\n",
      "        ├── TURKEY VULTURE\n",
      "        ├── TURQUOISE MOTMOT\n",
      "        ├── UMBRELLA BIRD\n",
      "        ├── VARIED THRUSH\n",
      "        ├── VENEZUELIAN TROUPIAL\n",
      "        ├── VERMILION FLYCATHER\n",
      "        ├── VICTORIA CROWNED PIGEON\n",
      "        ├── VIOLET GREEN SWALLOW\n",
      "        ├── VULTURINE GUINEAFOWL\n",
      "        ├── WATTLED CURASSOW\n",
      "        ├── WHIMBREL\n",
      "        ├── WHITE CHEEKED TURACO\n",
      "        ├── WHITE NECKED RAVEN\n",
      "        ├── WHITE TAILED TROPIC\n",
      "        ├── WHITE THROATED BEE EATER\n",
      "        ├── WILD TURKEY\n",
      "        ├── WILSONS BIRD OF PARADISE\n",
      "        ├── WOOD DUCK\n",
      "        ├── YELLOW BELLIED FLOWERPECKER\n",
      "        ├── YELLOW CACIQUE\n",
      "        └── YELLOW HEADED BLACKBIRD\n",
      "\n",
      "1660 directories\n"
     ]
    }
   ],
   "source": [
    "! tree Bird_Dataset -d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:17:01.161031Z",
     "iopub.status.busy": "2022-02-20T23:17:01.160330Z",
     "iopub.status.idle": "2022-02-20T23:17:31.085099Z",
     "shell.execute_reply": "2022-02-20T23:17:31.084413Z",
     "shell.execute_reply.started": "2022-02-20T23:17:01.160972Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: idna<3,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex==2.1.0) (2.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex==2.1.0) (1.25.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex==2.1.0) (2019.9.11)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex==2.1.0) (3.7.0)\n",
      "Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex==2.1.0) (4.0.1)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.1->visualdl>=2.2.2->paddlex==2.1.0) (2.0.1)\n",
      "Building wheels for collected packages: lap, pycocotools, py-cpuinfo\n",
      "  Building wheel for lap (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for lap: filename=lap-0.4.0-cp37-cp37m-linux_x86_64.whl size=1593867 sha256=736d626dbfc26a09de575768c2e58a8d662386bc1d16126b8185d5fd75b1a6a6\n",
      "  Stored in directory: /home/aistudio/.cache/pip/wheels/95/5f/20/9e2b2cfb8b2bfae5a5374e947511a47c8909e74aaf6d6d4464\n",
      "  Building wheel for pycocotools (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for pycocotools: filename=pycocotools-2.0.4-cp37-cp37m-linux_x86_64.whl size=273788 sha256=8f633c4a1671e14e8f56aaeba296a7647ea45e19bbd686f99a13635f9389cee2\n",
      "  Stored in directory: /home/aistudio/.cache/pip/wheels/d0/74/13/98b11419a029f3c25590419747f1ec26f5494beae1d457560b\n",
      "  Building wheel for py-cpuinfo (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for py-cpuinfo: filename=py_cpuinfo-8.0.0-py3-none-any.whl size=22245 sha256=0a940e4407f529935dad09569cc6bf6751ae5a309f470fe39b4342be5c660713\n",
      "  Stored in directory: /home/aistudio/.cache/pip/wheels/9c/57/dd/323247bc3b04fce7bc3fa4c25c106b87f2c13888c240b68723\n",
      "Successfully built lap pycocotools py-cpuinfo\n",
      "Installing collected packages: tomli, py, iniconfig, pytest, py-cpuinfo, xmltodict, pytest-benchmark, flake8-import-order, visualdl, shapely, scikit-learn, pycocotools, paddleslim, motmetrics, lap, paddlex\n",
      "  Attempting uninstall: visualdl\n",
      "    Found existing installation: visualdl 2.2.0\n",
      "    Uninstalling visualdl-2.2.0:\n",
      "      Successfully uninstalled visualdl-2.2.0\n",
      "  Attempting uninstall: scikit-learn\n",
      "    Found existing installation: scikit-learn 0.24.2\n",
      "    Uninstalling scikit-learn-0.24.2:\n",
      "      Successfully uninstalled scikit-learn-0.24.2\n",
      "Successfully installed flake8-import-order-0.18.1 iniconfig-1.1.1 lap-0.4.0 motmetrics-1.2.0 paddleslim-2.2.1 paddlex-2.1.0 py-1.11.0 py-cpuinfo-8.0.0 pycocotools-2.0.4 pytest-7.0.1 pytest-benchmark-3.4.1 scikit-learn-0.23.2 shapely-1.8.1.post1 tomli-2.0.1 visualdl-2.2.3 xmltodict-0.12.0\n",
      "\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.3 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install paddlex==2.1.0 -i https://mirror.baidu.com/pypi/simple\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:17:43.522029Z",
     "iopub.status.busy": "2022-02-20T23:17:43.521106Z",
     "iopub.status.idle": "2022-02-20T23:17:46.908364Z",
     "shell.execute_reply": "2022-02-20T23:17:46.907378Z",
     "shell.execute_reply.started": "2022-02-20T23:17:43.521986Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: cython in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (0.29)\n",
      "\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.3 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: pycocotools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (2.0.4)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools) (1.19.5)\n",
      "Requirement already satisfied: matplotlib>=2.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools) (2.2.3)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (2.8.2)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (3.0.7)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (2019.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.1.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (0.10.0)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.16.0)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=2.1.0->pycocotools) (56.2.0)\n",
      "\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.3 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install cython  \n",
    "!pip install pycocotools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T20:58:09.081548Z",
     "iopub.status.busy": "2022-02-20T20:58:09.081023Z",
     "iopub.status.idle": "2022-02-20T20:58:09.086294Z",
     "shell.execute_reply": "2022-02-20T20:58:09.085705Z",
     "shell.execute_reply.started": "2022-02-20T20:58:09.081505Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-27T13:28:18.000347Z",
     "iopub.status.busy": "2022-02-27T13:28:18.000007Z",
     "iopub.status.idle": "2022-02-27T13:28:18.004804Z",
     "shell.execute_reply": "2022-02-27T13:28:18.004332Z",
     "shell.execute_reply.started": "2022-02-27T13:28:18.000320Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Errno 2] No such file or directory: 'Bird_Dataset'\n",
      "/home/aistudio\n"
     ]
    }
   ],
   "source": [
    "cd /home/aistudio/Bird_Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:46:24.745953Z",
     "iopub.status.busy": "2022-02-20T23:46:24.745458Z",
     "iopub.status.idle": "2022-02-20T23:46:24.755187Z",
     "shell.execute_reply": "2022-02-20T23:46:24.754408Z",
     "shell.execute_reply.started": "2022-02-20T23:46:24.745912Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "#获得文件夹下文件名列表\n",
    "path=r\"/home/aistudio/Bird_Dataset/birds/valid\"\n",
    "\n",
    "file_list=os.listdir(path)\n",
    "\n",
    "#选择要重命名的文件夹路径\n",
    "os.chdir(path)\n",
    "\n",
    "#将文件名中的Lesson和空格用空字符串替代\n",
    "for file in file_list:\n",
    "  os.rename(file,file.replace(\" \",\"_\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 按照paddlex的要求格式，对文件名处理，并生成训练文件、标签文件、验证集文件等的txt格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:46:59.670233Z",
     "iopub.status.busy": "2022-02-20T23:46:59.669180Z",
     "iopub.status.idle": "2022-02-20T23:46:59.679045Z",
     "shell.execute_reply": "2022-02-20T23:46:59.678261Z",
     "shell.execute_reply.started": "2022-02-20T23:46:59.670193Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "def traversalDir_FirstDir(path):\n",
    "    # 定义一个列表，用来存储结果\n",
    "    list = []\n",
    "    # 判断路径是否存在\n",
    "    if (os.path.exists(path)):\n",
    "        # 获取该目录下的所有文件或文件夹目录\n",
    "        files = os.listdir(path)\n",
    "        for file in files:\n",
    "            # 得到该文件下所有目录的路径\n",
    "            m = os.path.join(path, file)\n",
    "            # 判断该路径下是否是文件夹\n",
    "            if (os.path.isdir(m)):\n",
    "                h = os.path.split(m)\n",
    "                list.append(h[1])\n",
    "        return list\n",
    "\n",
    "\n",
    "name_list = sorted(traversalDir_FirstDir('/home/aistudio/Bird_Dataset/birds/test'))\n",
    "\n",
    "with open('/home/aistudio/Bird_Dataset/birds/labels.txt','a') as f:\n",
    "    for name in name_list:\n",
    "        f.write(name.replace(' ', '_') + '\\n')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:48:30.028976Z",
     "iopub.status.busy": "2022-02-20T23:48:30.027907Z",
     "iopub.status.idle": "2022-02-20T23:48:30.824720Z",
     "shell.execute_reply": "2022-02-20T23:48:30.823862Z",
     "shell.execute_reply.started": "2022-02-20T23:48:30.028936Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "# 读取csv至字典\n",
    "csvFile = open(\"/home/aistudio/Bird_Dataset/birds/birds.csv\", \"r\")\n",
    "reader = csv.reader(csvFile)\n",
    "name_list = sorted(traversalDir_FirstDir('/home/aistudio/Bird_Dataset/birds/test'))\n",
    "\n",
    "\n",
    "for item in reader:\n",
    "    # 忽略第一行\n",
    "    if reader.line_num == 1:\n",
    "        continue\n",
    "    # print(item[0],item[1],item[2],item[3])\n",
    "    # result[item[0]] = item[1]\n",
    "\n",
    "    if item[3] == 'train':\n",
    "        name = item[1]\n",
    "        # print(type(name))\n",
    "        with open('/home/aistudio/Bird_Dataset/birds/train_list.txt','a') as f1:\n",
    "            # f1.write(name.replace(' ', '_') + ' ' + str(name_list.index(name)) + '\\n')\n",
    "            f1.write(name.replace(' ', '_') + ' ' + str(name_list.index(item[2].replace(' ', '_'))) + '\\n')\n",
    "\n",
    "    if item[3] == 'test':\n",
    "        name = item[1]\n",
    "        # print(type(name))\n",
    "        with open('/home/aistudio/Bird_Dataset/birds/test_list.txt','a') as f1:\n",
    "            f1.write(name.replace(' ', '_') + ' ' + str(name_list.index(item[2].replace(' ', '_'))) + '\\n')\n",
    "    if item[3] == 'valid':\n",
    "        name = item[1]\n",
    "        # print(type(name))\n",
    "        with open('/home/aistudio/Bird_Dataset/birds/val_list.txt','a') as f1:\n",
    "            f1.write(name.replace(' ', '_') + ' ' + str(name_list.index(item[2].replace(' ', '_'))) + '\\n')\n",
    "csvFile.close()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 定义训练/验证图像处理流程transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:48:41.626470Z",
     "iopub.status.busy": "2022-02-20T23:48:41.625676Z",
     "iopub.status.idle": "2022-02-20T23:48:41.631676Z",
     "shell.execute_reply": "2022-02-20T23:48:41.630849Z",
     "shell.execute_reply.started": "2022-02-20T23:48:41.626426Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from paddlex import transforms as T\n",
    "train_transforms = T.Compose([\n",
    "    T.RandomCrop(crop_size=224),\n",
    "    T.RandomHorizontalFlip(),\n",
    "    T.Normalize()])\n",
    "\n",
    "eval_transforms = T.Compose([\n",
    "    T.ResizeByShort(short_size=256),\n",
    "    T.CenterCrop(crop_size=224),\n",
    "    T.Normalize()\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 定义dataset加载图像分类数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:49:23.588976Z",
     "iopub.status.busy": "2022-02-20T23:49:23.588474Z",
     "iopub.status.idle": "2022-02-20T23:49:24.265589Z",
     "shell.execute_reply": "2022-02-20T23:49:24.264926Z",
     "shell.execute_reply.started": "2022-02-20T23:49:23.588938Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/bin/bash: 第 0 行: cd: Bird_Dataset/birds/test: 没有那个文件或目录\n",
      "2022-02-21 07:49:23 [INFO]\tStarting to read file list from dataset...\n",
      "2022-02-21 07:49:24 [INFO]\t39364 samples in file /home/aistudio/Bird_Dataset/birds/train_list.txt\n",
      "2022-02-21 07:49:24 [INFO]\tStarting to read file list from dataset...\n",
      "2022-02-21 07:49:24 [INFO]\t1375 samples in file /home/aistudio/Bird_Dataset/birds/val_list.txt\n"
     ]
    }
   ],
   "source": [
    "!cd Bird_Dataset/birds/test\n",
    "import paddlex as pdx\n",
    "\n",
    "train_dataset = pdx.datasets.ImageNet(\n",
    "    data_dir='/home/aistudio/Bird_Dataset/birds/',\n",
    "    file_list='/home/aistudio/Bird_Dataset/birds/train_list.txt',\n",
    "    label_list='/home/aistudio/Bird_Dataset/birds/labels.txt',\n",
    "    transforms=train_transforms,\n",
    "    shuffle=True)\n",
    "eval_dataset = pdx.datasets.ImageNet(\n",
    "    data_dir='/home/aistudio/Bird_Dataset/birds/',\n",
    "    file_list='/home/aistudio/Bird_Dataset/birds/val_list.txt',\n",
    "    label_list='/home/aistudio/Bird_Dataset/birds/labels.txt',\n",
    "    transforms=eval_transforms)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用MobileNetV3_small模型开始训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-20T23:49:27.516803Z",
     "iopub.status.busy": "2022-02-20T23:49:27.515874Z",
     "iopub.status.idle": "2022-02-21T00:02:07.525837Z",
     "shell.execute_reply": "2022-02-21T00:02:07.524889Z",
     "shell.execute_reply.started": "2022-02-20T23:49:27.516763Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0221 07:49:27.520598  2025 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1\n",
      "W0221 07:49:27.525243  2025 device_context.cc:465] device: 0, cuDNN Version: 7.6.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-02-21 07:49:30 [INFO]\tDownloading MobileNetV3_small_x1_0_pretrained.pdparams from https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x1_0_pretrained.pdparams\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 17436/17436 [00:00<00:00, 46018.17KB/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-02-21 07:49:30 [INFO]\tLoading pretrained model from output/mobilenetv3_small/pretrain/MobileNetV3_small_x1_0_pretrained.pdparams\n",
      "2022-02-21 07:49:30 [WARNING]\t[SKIP] Shape of pretrained params fc.weight doesn't match.(Pretrained: (1280, 1000), Actual: [1280, 275])\n",
      "2022-02-21 07:49:30 [WARNING]\t[SKIP] Shape of pretrained params fc.bias doesn't match.(Pretrained: (1000,), Actual: [275])\n",
      "2022-02-21 07:49:30 [INFO]\tThere are 212/214 variables loaded into MobileNetV3_small_x1_0.\n",
      "2022-02-21 07:49:32 [INFO]\t[TRAIN] Epoch=1/10, Step=10/1230, loss=5.562966, acc1=0.031250, acc5=0.031250, lr=0.025000, time_each_step=0.09s, eta=0:19:19\n",
      "2022-02-21 07:49:32 [INFO]\t[TRAIN] Epoch=1/10, Step=20/1230, loss=5.427852, acc1=0.031250, acc5=0.125000, lr=0.025000, time_each_step=0.06s, eta=0:12:1\n",
      "2022-02-21 07:49:33 [INFO]\t[TRAIN] Epoch=1/10, Step=30/1230, loss=5.528315, acc1=0.031250, acc5=0.156250, lr=0.025000, time_each_step=0.06s, eta=0:11:54\n",
      "2022-02-21 07:49:33 [INFO]\t[TRAIN] Epoch=1/10, Step=40/1230, loss=5.119029, acc1=0.062500, acc5=0.093750, lr=0.025000, time_each_step=0.06s, eta=0:11:48\n",
      "2022-02-21 07:49:34 [INFO]\t[TRAIN] Epoch=1/10, Step=50/1230, loss=5.071686, acc1=0.062500, acc5=0.187500, lr=0.025000, time_each_step=0.06s, eta=0:11:50\n",
      "2022-02-21 07:49:34 [INFO]\t[TRAIN] Epoch=1/10, Step=60/1230, loss=4.928513, acc1=0.093750, acc5=0.187500, lr=0.025000, time_each_step=0.06s, eta=0:12:23\n",
      "2022-02-21 07:49:35 [INFO]\t[TRAIN] Epoch=1/10, Step=70/1230, loss=4.439643, acc1=0.093750, acc5=0.312500, lr=0.025000, time_each_step=0.06s, eta=0:11:51\n",
      "2022-02-21 07:49:36 [INFO]\t[TRAIN] Epoch=1/10, Step=80/1230, loss=4.625393, acc1=0.093750, acc5=0.281250, lr=0.025000, time_each_step=0.06s, eta=0:11:48\n",
      "2022-02-21 07:49:36 [INFO]\t[TRAIN] Epoch=1/10, Step=90/1230, loss=4.250847, acc1=0.187500, acc5=0.250000, lr=0.025000, time_each_step=0.06s, eta=0:11:58\n",
      "2022-02-21 07:49:37 [INFO]\t[TRAIN] Epoch=1/10, Step=100/1230, loss=3.815581, acc1=0.125000, acc5=0.343750, lr=0.025000, time_each_step=0.06s, eta=0:11:48\n",
      "2022-02-21 07:49:37 [INFO]\t[TRAIN] Epoch=1/10, Step=110/1230, loss=4.391170, acc1=0.218750, acc5=0.343750, lr=0.025000, time_each_step=0.06s, eta=0:11:49\n",
      "2022-02-21 07:49:38 [INFO]\t[TRAIN] Epoch=1/10, Step=120/1230, loss=4.432357, acc1=0.093750, acc5=0.281250, lr=0.025000, time_each_step=0.06s, eta=0:11:41\n",
      "2022-02-21 07:49:39 [INFO]\t[TRAIN] Epoch=1/10, Step=130/1230, loss=3.768057, acc1=0.218750, acc5=0.468750, lr=0.025000, time_each_step=0.08s, eta=0:17:13\n",
      "2022-02-21 07:49:40 [INFO]\t[TRAIN] Epoch=1/10, Step=140/1230, loss=4.004666, acc1=0.156250, acc5=0.406250, lr=0.025000, time_each_step=0.07s, eta=0:14:25\n",
      "2022-02-21 07:49:40 [INFO]\t[TRAIN] Epoch=1/10, Step=150/1230, loss=3.133336, acc1=0.250000, acc5=0.562500, lr=0.025000, time_each_step=0.06s, eta=0:11:28\n",
      "2022-02-21 07:49:41 [INFO]\t[TRAIN] Epoch=1/10, Step=160/1230, loss=4.013300, acc1=0.093750, acc5=0.312500, lr=0.025000, time_each_step=0.06s, eta=0:11:30\n",
      "2022-02-21 07:49:41 [INFO]\t[TRAIN] Epoch=1/10, Step=170/1230, loss=3.666799, acc1=0.218750, acc5=0.468750, lr=0.025000, time_each_step=0.06s, eta=0:11:39\n",
      "2022-02-21 07:49:42 [INFO]\t[TRAIN] Epoch=1/10, Step=180/1230, loss=3.522329, acc1=0.218750, acc5=0.500000, lr=0.025000, time_each_step=0.06s, eta=0:11:34\n",
      "2022-02-21 07:49:42 [INFO]\t[TRAIN] Epoch=1/10, Step=190/1230, loss=3.387079, acc1=0.312500, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:28\n",
      "2022-02-21 07:49:43 [INFO]\t[TRAIN] Epoch=1/10, Step=200/1230, loss=3.269768, acc1=0.187500, acc5=0.500000, lr=0.025000, time_each_step=0.06s, eta=0:11:31\n",
      "2022-02-21 07:49:43 [INFO]\t[TRAIN] Epoch=1/10, Step=210/1230, loss=3.373140, acc1=0.312500, acc5=0.468750, lr=0.025000, time_each_step=0.06s, eta=0:11:26\n",
      "2022-02-21 07:49:44 [INFO]\t[TRAIN] Epoch=1/10, Step=220/1230, loss=3.295951, acc1=0.281250, acc5=0.406250, lr=0.025000, time_each_step=0.06s, eta=0:11:32\n",
      "2022-02-21 07:49:45 [INFO]\t[TRAIN] Epoch=1/10, Step=230/1230, loss=3.287492, acc1=0.343750, acc5=0.500000, lr=0.025000, time_each_step=0.06s, eta=0:11:32\n",
      "2022-02-21 07:49:45 [INFO]\t[TRAIN] Epoch=1/10, Step=240/1230, loss=3.246680, acc1=0.281250, acc5=0.593750, lr=0.025000, time_each_step=0.06s, eta=0:11:22\n",
      "2022-02-21 07:49:46 [INFO]\t[TRAIN] Epoch=1/10, Step=250/1230, loss=3.346982, acc1=0.343750, acc5=0.531250, lr=0.025000, time_each_step=0.06s, eta=0:11:35\n",
      "2022-02-21 07:49:46 [INFO]\t[TRAIN] Epoch=1/10, Step=260/1230, loss=3.050555, acc1=0.281250, acc5=0.562500, lr=0.025000, time_each_step=0.06s, eta=0:11:27\n",
      "2022-02-21 07:49:47 [INFO]\t[TRAIN] Epoch=1/10, Step=270/1230, loss=2.728739, acc1=0.406250, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:11:33\n",
      "2022-02-21 07:49:48 [INFO]\t[TRAIN] Epoch=1/10, Step=280/1230, loss=3.135849, acc1=0.343750, acc5=0.562500, lr=0.025000, time_each_step=0.07s, eta=0:13:22\n",
      "2022-02-21 07:49:48 [INFO]\t[TRAIN] Epoch=1/10, Step=290/1230, loss=2.374154, acc1=0.437500, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:37\n",
      "2022-02-21 07:49:49 [INFO]\t[TRAIN] Epoch=1/10, Step=300/1230, loss=2.111431, acc1=0.500000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:35\n",
      "2022-02-21 07:49:49 [INFO]\t[TRAIN] Epoch=1/10, Step=310/1230, loss=2.444561, acc1=0.406250, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:43\n",
      "2022-02-21 07:49:50 [INFO]\t[TRAIN] Epoch=1/10, Step=320/1230, loss=2.473288, acc1=0.437500, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:11:34\n",
      "2022-02-21 07:49:50 [INFO]\t[TRAIN] Epoch=1/10, Step=330/1230, loss=2.425528, acc1=0.468750, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:16\n",
      "2022-02-21 07:49:51 [INFO]\t[TRAIN] Epoch=1/10, Step=340/1230, loss=3.706414, acc1=0.156250, acc5=0.562500, lr=0.025000, time_each_step=0.06s, eta=0:11:11\n",
      "2022-02-21 07:49:52 [INFO]\t[TRAIN] Epoch=1/10, Step=350/1230, loss=2.384256, acc1=0.437500, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:20\n",
      "2022-02-21 07:49:52 [INFO]\t[TRAIN] Epoch=1/10, Step=360/1230, loss=3.078797, acc1=0.281250, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:17\n",
      "2022-02-21 07:49:53 [INFO]\t[TRAIN] Epoch=1/10, Step=370/1230, loss=2.329314, acc1=0.500000, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:17\n",
      "2022-02-21 07:49:53 [INFO]\t[TRAIN] Epoch=1/10, Step=380/1230, loss=2.536995, acc1=0.406250, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:16\n",
      "2022-02-21 07:49:54 [INFO]\t[TRAIN] Epoch=1/10, Step=390/1230, loss=3.446366, acc1=0.281250, acc5=0.531250, lr=0.025000, time_each_step=0.06s, eta=0:11:35\n",
      "2022-02-21 07:49:54 [INFO]\t[TRAIN] Epoch=1/10, Step=400/1230, loss=2.612578, acc1=0.406250, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:16\n",
      "2022-02-21 07:49:55 [INFO]\t[TRAIN] Epoch=1/10, Step=410/1230, loss=1.744362, acc1=0.468750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:11:38\n",
      "2022-02-21 07:49:56 [INFO]\t[TRAIN] Epoch=1/10, Step=420/1230, loss=2.071349, acc1=0.531250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:11:49\n",
      "2022-02-21 07:49:56 [INFO]\t[TRAIN] Epoch=1/10, Step=430/1230, loss=2.237563, acc1=0.531250, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:18\n",
      "2022-02-21 07:49:57 [INFO]\t[TRAIN] Epoch=1/10, Step=440/1230, loss=2.060957, acc1=0.531250, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:11:31\n",
      "2022-02-21 07:49:57 [INFO]\t[TRAIN] Epoch=1/10, Step=450/1230, loss=2.218758, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:12:50\n",
      "2022-02-21 07:49:58 [INFO]\t[TRAIN] Epoch=1/10, Step=460/1230, loss=1.967415, acc1=0.500000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:10\n",
      "2022-02-21 07:49:59 [INFO]\t[TRAIN] Epoch=1/10, Step=470/1230, loss=1.966114, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:14\n",
      "2022-02-21 07:49:59 [INFO]\t[TRAIN] Epoch=1/10, Step=480/1230, loss=2.249304, acc1=0.375000, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:11:5\n",
      "2022-02-21 07:50:00 [INFO]\t[TRAIN] Epoch=1/10, Step=490/1230, loss=1.590388, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:55\n",
      "2022-02-21 07:50:00 [INFO]\t[TRAIN] Epoch=1/10, Step=500/1230, loss=2.807345, acc1=0.437500, acc5=0.593750, lr=0.025000, time_each_step=0.06s, eta=0:10:58\n",
      "2022-02-21 07:50:01 [INFO]\t[TRAIN] Epoch=1/10, Step=510/1230, loss=2.217686, acc1=0.500000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:7\n",
      "2022-02-21 07:50:01 [INFO]\t[TRAIN] Epoch=1/10, Step=520/1230, loss=2.382586, acc1=0.468750, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:11:2\n",
      "2022-02-21 07:50:02 [INFO]\t[TRAIN] Epoch=1/10, Step=530/1230, loss=1.841383, acc1=0.562500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:4\n",
      "2022-02-21 07:50:02 [INFO]\t[TRAIN] Epoch=1/10, Step=540/1230, loss=2.343968, acc1=0.437500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:53\n",
      "2022-02-21 07:50:03 [INFO]\t[TRAIN] Epoch=1/10, Step=550/1230, loss=2.525400, acc1=0.375000, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:10:58\n",
      "2022-02-21 07:50:04 [INFO]\t[TRAIN] Epoch=1/10, Step=560/1230, loss=2.081232, acc1=0.562500, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:57\n",
      "2022-02-21 07:50:04 [INFO]\t[TRAIN] Epoch=1/10, Step=570/1230, loss=3.005851, acc1=0.281250, acc5=0.593750, lr=0.025000, time_each_step=0.06s, eta=0:11:5\n",
      "2022-02-21 07:50:05 [INFO]\t[TRAIN] Epoch=1/10, Step=580/1230, loss=2.105489, acc1=0.531250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:11:6\n",
      "2022-02-21 07:50:05 [INFO]\t[TRAIN] Epoch=1/10, Step=590/1230, loss=1.743567, acc1=0.562500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:10\n",
      "2022-02-21 07:50:06 [INFO]\t[TRAIN] Epoch=1/10, Step=600/1230, loss=2.365319, acc1=0.406250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:10\n",
      "2022-02-21 07:50:06 [INFO]\t[TRAIN] Epoch=1/10, Step=610/1230, loss=2.989395, acc1=0.343750, acc5=0.500000, lr=0.025000, time_each_step=0.06s, eta=0:11:3\n",
      "2022-02-21 07:50:07 [INFO]\t[TRAIN] Epoch=1/10, Step=620/1230, loss=1.997581, acc1=0.468750, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:6\n",
      "2022-02-21 07:50:08 [INFO]\t[TRAIN] Epoch=1/10, Step=630/1230, loss=2.364447, acc1=0.406250, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:5\n",
      "2022-02-21 07:50:08 [INFO]\t[TRAIN] Epoch=1/10, Step=640/1230, loss=2.962966, acc1=0.343750, acc5=0.625000, lr=0.025000, time_each_step=0.06s, eta=0:11:4\n",
      "2022-02-21 07:50:09 [INFO]\t[TRAIN] Epoch=1/10, Step=650/1230, loss=2.091482, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:3\n",
      "2022-02-21 07:50:09 [INFO]\t[TRAIN] Epoch=1/10, Step=660/1230, loss=2.418990, acc1=0.531250, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:2\n",
      "2022-02-21 07:50:10 [INFO]\t[TRAIN] Epoch=1/10, Step=670/1230, loss=1.333004, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:11:0\n",
      "2022-02-21 07:50:10 [INFO]\t[TRAIN] Epoch=1/10, Step=680/1230, loss=1.897439, acc1=0.593750, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:1\n",
      "2022-02-21 07:50:11 [INFO]\t[TRAIN] Epoch=1/10, Step=690/1230, loss=1.974483, acc1=0.406250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:11:10\n",
      "2022-02-21 07:50:12 [INFO]\t[TRAIN] Epoch=1/10, Step=700/1230, loss=1.793232, acc1=0.531250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:11:2\n",
      "2022-02-21 07:50:12 [INFO]\t[TRAIN] Epoch=1/10, Step=710/1230, loss=2.069712, acc1=0.531250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:4\n",
      "2022-02-21 07:50:13 [INFO]\t[TRAIN] Epoch=1/10, Step=720/1230, loss=2.086959, acc1=0.500000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:11:3\n",
      "2022-02-21 07:50:13 [INFO]\t[TRAIN] Epoch=1/10, Step=730/1230, loss=2.180167, acc1=0.437500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:4\n",
      "2022-02-21 07:50:14 [INFO]\t[TRAIN] Epoch=1/10, Step=740/1230, loss=2.093947, acc1=0.468750, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:11:0\n",
      "2022-02-21 07:50:14 [INFO]\t[TRAIN] Epoch=1/10, Step=750/1230, loss=1.332787, acc1=0.625000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:11:2\n",
      "2022-02-21 07:50:15 [INFO]\t[TRAIN] Epoch=1/10, Step=760/1230, loss=1.526439, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:59\n",
      "2022-02-21 07:50:16 [INFO]\t[TRAIN] Epoch=1/10, Step=770/1230, loss=1.508169, acc1=0.562500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:11:1\n",
      "2022-02-21 07:50:16 [INFO]\t[TRAIN] Epoch=1/10, Step=780/1230, loss=1.901949, acc1=0.500000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:55\n",
      "2022-02-21 07:50:17 [INFO]\t[TRAIN] Epoch=1/10, Step=790/1230, loss=1.555414, acc1=0.656250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:57\n",
      "2022-02-21 07:50:17 [INFO]\t[TRAIN] Epoch=1/10, Step=800/1230, loss=1.736810, acc1=0.437500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:11:0\n",
      "2022-02-21 07:50:18 [INFO]\t[TRAIN] Epoch=1/10, Step=810/1230, loss=1.131409, acc1=0.687500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:56\n",
      "2022-02-21 07:50:18 [INFO]\t[TRAIN] Epoch=1/10, Step=820/1230, loss=2.156727, acc1=0.468750, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:2\n",
      "2022-02-21 07:50:19 [INFO]\t[TRAIN] Epoch=1/10, Step=830/1230, loss=1.353791, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:59\n",
      "2022-02-21 07:50:20 [INFO]\t[TRAIN] Epoch=1/10, Step=840/1230, loss=1.906367, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:50:20 [INFO]\t[TRAIN] Epoch=1/10, Step=850/1230, loss=2.012867, acc1=0.500000, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:10:48\n",
      "2022-02-21 07:50:21 [INFO]\t[TRAIN] Epoch=1/10, Step=860/1230, loss=2.268013, acc1=0.500000, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:10:57\n",
      "2022-02-21 07:50:21 [INFO]\t[TRAIN] Epoch=1/10, Step=870/1230, loss=2.355284, acc1=0.500000, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:50:22 [INFO]\t[TRAIN] Epoch=1/10, Step=880/1230, loss=2.772215, acc1=0.406250, acc5=0.562500, lr=0.025000, time_each_step=0.06s, eta=0:11:1\n",
      "2022-02-21 07:50:22 [INFO]\t[TRAIN] Epoch=1/10, Step=890/1230, loss=2.648319, acc1=0.406250, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:10:56\n",
      "2022-02-21 07:50:23 [INFO]\t[TRAIN] Epoch=1/10, Step=900/1230, loss=1.732145, acc1=0.625000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:46\n",
      "2022-02-21 07:50:24 [INFO]\t[TRAIN] Epoch=1/10, Step=910/1230, loss=1.725088, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:54\n",
      "2022-02-21 07:50:24 [INFO]\t[TRAIN] Epoch=1/10, Step=920/1230, loss=2.179677, acc1=0.468750, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:50:25 [INFO]\t[TRAIN] Epoch=1/10, Step=930/1230, loss=2.102929, acc1=0.500000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:50:25 [INFO]\t[TRAIN] Epoch=1/10, Step=940/1230, loss=1.542493, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:38\n",
      "2022-02-21 07:50:26 [INFO]\t[TRAIN] Epoch=1/10, Step=950/1230, loss=1.938321, acc1=0.531250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:50:26 [INFO]\t[TRAIN] Epoch=1/10, Step=960/1230, loss=2.035169, acc1=0.593750, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:50:27 [INFO]\t[TRAIN] Epoch=1/10, Step=970/1230, loss=1.772789, acc1=0.500000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:50:27 [INFO]\t[TRAIN] Epoch=1/10, Step=980/1230, loss=2.156540, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:50:28 [INFO]\t[TRAIN] Epoch=1/10, Step=990/1230, loss=1.510700, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:50:29 [INFO]\t[TRAIN] Epoch=1/10, Step=1000/1230, loss=1.540731, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:44\n",
      "2022-02-21 07:50:29 [INFO]\t[TRAIN] Epoch=1/10, Step=1010/1230, loss=1.229520, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:41\n",
      "2022-02-21 07:50:30 [INFO]\t[TRAIN] Epoch=1/10, Step=1020/1230, loss=1.255411, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:50:30 [INFO]\t[TRAIN] Epoch=1/10, Step=1030/1230, loss=0.900100, acc1=0.718750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:43\n",
      "2022-02-21 07:50:31 [INFO]\t[TRAIN] Epoch=1/10, Step=1040/1230, loss=1.605642, acc1=0.718750, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:42\n",
      "2022-02-21 07:50:31 [INFO]\t[TRAIN] Epoch=1/10, Step=1050/1230, loss=1.502370, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:42\n",
      "2022-02-21 07:50:32 [INFO]\t[TRAIN] Epoch=1/10, Step=1060/1230, loss=1.632382, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:55\n",
      "2022-02-21 07:50:33 [INFO]\t[TRAIN] Epoch=1/10, Step=1070/1230, loss=1.694183, acc1=0.500000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:50:33 [INFO]\t[TRAIN] Epoch=1/10, Step=1080/1230, loss=1.335990, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:41\n",
      "2022-02-21 07:50:34 [INFO]\t[TRAIN] Epoch=1/10, Step=1090/1230, loss=1.905368, acc1=0.468750, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:40\n",
      "2022-02-21 07:50:34 [INFO]\t[TRAIN] Epoch=1/10, Step=1100/1230, loss=2.895509, acc1=0.250000, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:10:35\n",
      "2022-02-21 07:50:35 [INFO]\t[TRAIN] Epoch=1/10, Step=1110/1230, loss=1.263076, acc1=0.625000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:42\n",
      "2022-02-21 07:50:35 [INFO]\t[TRAIN] Epoch=1/10, Step=1120/1230, loss=1.552517, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:37\n",
      "2022-02-21 07:50:36 [INFO]\t[TRAIN] Epoch=1/10, Step=1130/1230, loss=1.728904, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:38\n",
      "2022-02-21 07:50:37 [INFO]\t[TRAIN] Epoch=1/10, Step=1140/1230, loss=2.802211, acc1=0.250000, acc5=0.656250, lr=0.025000, time_each_step=0.06s, eta=0:10:30\n",
      "2022-02-21 07:50:37 [INFO]\t[TRAIN] Epoch=1/10, Step=1150/1230, loss=1.340646, acc1=0.562500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:36\n",
      "2022-02-21 07:50:38 [INFO]\t[TRAIN] Epoch=1/10, Step=1160/1230, loss=1.960552, acc1=0.468750, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:10:32\n",
      "2022-02-21 07:50:38 [INFO]\t[TRAIN] Epoch=1/10, Step=1170/1230, loss=1.182586, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:28\n",
      "2022-02-21 07:50:39 [INFO]\t[TRAIN] Epoch=1/10, Step=1180/1230, loss=1.935613, acc1=0.625000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:40\n",
      "2022-02-21 07:50:39 [INFO]\t[TRAIN] Epoch=1/10, Step=1190/1230, loss=1.686543, acc1=0.562500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:32\n",
      "2022-02-21 07:50:40 [INFO]\t[TRAIN] Epoch=1/10, Step=1200/1230, loss=2.357098, acc1=0.531250, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:10:33\n",
      "2022-02-21 07:50:41 [INFO]\t[TRAIN] Epoch=1/10, Step=1210/1230, loss=1.433184, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:37\n",
      "2022-02-21 07:50:41 [INFO]\t[TRAIN] Epoch=1/10, Step=1220/1230, loss=1.421327, acc1=0.687500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:35\n",
      "2022-02-21 07:50:42 [INFO]\t[TRAIN] Epoch=1/10, Step=1230/1230, loss=1.518507, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:31\n",
      "2022-02-21 07:50:42 [INFO]\t[TRAIN] Epoch 1 finished, loss=2.4058962, acc1=0.4511941, acc5=0.6909553 .\n",
      "2022-02-21 07:50:42 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:50:45 [INFO]\t[EVAL] Finished, Epoch=1, acc1=0.848814, acc5=0.970907 .\n",
      "2022-02-21 07:50:45 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:50:45 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_1, acc1=0.8488137722015381\n",
      "2022-02-21 07:50:46 [INFO]\tModel saved in output/mobilenetv3_small/epoch_1.\n",
      "2022-02-21 07:50:47 [INFO]\t[TRAIN] Epoch=2/10, Step=10/1230, loss=2.881087, acc1=0.437500, acc5=0.593750, lr=0.025000, time_each_step=0.09s, eta=0:16:12\n",
      "2022-02-21 07:50:48 [INFO]\t[TRAIN] Epoch=2/10, Step=20/1230, loss=1.755637, acc1=0.593750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:58\n",
      "2022-02-21 07:50:48 [INFO]\t[TRAIN] Epoch=2/10, Step=30/1230, loss=1.665345, acc1=0.656250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:11:1\n",
      "2022-02-21 07:50:49 [INFO]\t[TRAIN] Epoch=2/10, Step=40/1230, loss=1.304406, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:59\n",
      "2022-02-21 07:50:49 [INFO]\t[TRAIN] Epoch=2/10, Step=50/1230, loss=2.363467, acc1=0.468750, acc5=0.687500, lr=0.025000, time_each_step=0.06s, eta=0:11:14\n",
      "2022-02-21 07:50:50 [INFO]\t[TRAIN] Epoch=2/10, Step=60/1230, loss=1.176873, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:54\n",
      "2022-02-21 07:50:50 [INFO]\t[TRAIN] Epoch=2/10, Step=70/1230, loss=1.241514, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:11:0\n",
      "2022-02-21 07:50:51 [INFO]\t[TRAIN] Epoch=2/10, Step=80/1230, loss=1.252547, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:59\n",
      "2022-02-21 07:50:52 [INFO]\t[TRAIN] Epoch=2/10, Step=90/1230, loss=1.126040, acc1=0.781250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:51\n",
      "2022-02-21 07:50:52 [INFO]\t[TRAIN] Epoch=2/10, Step=100/1230, loss=0.928079, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:59\n",
      "2022-02-21 07:50:53 [INFO]\t[TRAIN] Epoch=2/10, Step=110/1230, loss=1.212814, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:49\n",
      "2022-02-21 07:50:53 [INFO]\t[TRAIN] Epoch=2/10, Step=120/1230, loss=1.827672, acc1=0.718750, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:53\n",
      "2022-02-21 07:50:54 [INFO]\t[TRAIN] Epoch=2/10, Step=130/1230, loss=1.471246, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:50:54 [INFO]\t[TRAIN] Epoch=2/10, Step=140/1230, loss=1.161459, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:57\n",
      "2022-02-21 07:50:55 [INFO]\t[TRAIN] Epoch=2/10, Step=150/1230, loss=1.690701, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:54\n",
      "2022-02-21 07:50:56 [INFO]\t[TRAIN] Epoch=2/10, Step=160/1230, loss=1.351590, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:45\n",
      "2022-02-21 07:50:56 [INFO]\t[TRAIN] Epoch=2/10, Step=170/1230, loss=1.327288, acc1=0.531250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:58\n",
      "2022-02-21 07:50:57 [INFO]\t[TRAIN] Epoch=2/10, Step=180/1230, loss=1.395328, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:50:57 [INFO]\t[TRAIN] Epoch=2/10, Step=190/1230, loss=1.154803, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:55\n",
      "2022-02-21 07:50:58 [INFO]\t[TRAIN] Epoch=2/10, Step=200/1230, loss=1.249639, acc1=0.718750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:43\n",
      "2022-02-21 07:50:58 [INFO]\t[TRAIN] Epoch=2/10, Step=210/1230, loss=1.371775, acc1=0.718750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:46\n",
      "2022-02-21 07:50:59 [INFO]\t[TRAIN] Epoch=2/10, Step=220/1230, loss=1.635088, acc1=0.625000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:11:3\n",
      "2022-02-21 07:51:00 [INFO]\t[TRAIN] Epoch=2/10, Step=230/1230, loss=1.189047, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:52\n",
      "2022-02-21 07:51:00 [INFO]\t[TRAIN] Epoch=2/10, Step=240/1230, loss=1.708054, acc1=0.531250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:45\n",
      "2022-02-21 07:51:01 [INFO]\t[TRAIN] Epoch=2/10, Step=250/1230, loss=1.368612, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:45\n",
      "2022-02-21 07:51:01 [INFO]\t[TRAIN] Epoch=2/10, Step=260/1230, loss=1.070670, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:45\n",
      "2022-02-21 07:51:02 [INFO]\t[TRAIN] Epoch=2/10, Step=270/1230, loss=1.859057, acc1=0.531250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:49\n",
      "2022-02-21 07:51:02 [INFO]\t[TRAIN] Epoch=2/10, Step=280/1230, loss=1.543767, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:47\n",
      "2022-02-21 07:51:03 [INFO]\t[TRAIN] Epoch=2/10, Step=290/1230, loss=1.409619, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:38\n",
      "2022-02-21 07:51:04 [INFO]\t[TRAIN] Epoch=2/10, Step=300/1230, loss=1.222115, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:43\n",
      "2022-02-21 07:51:04 [INFO]\t[TRAIN] Epoch=2/10, Step=310/1230, loss=1.325824, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:40\n",
      "2022-02-21 07:51:05 [INFO]\t[TRAIN] Epoch=2/10, Step=320/1230, loss=1.398632, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:44\n",
      "2022-02-21 07:51:05 [INFO]\t[TRAIN] Epoch=2/10, Step=330/1230, loss=1.230692, acc1=0.625000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:43\n",
      "2022-02-21 07:51:06 [INFO]\t[TRAIN] Epoch=2/10, Step=340/1230, loss=1.511596, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:51:06 [INFO]\t[TRAIN] Epoch=2/10, Step=350/1230, loss=1.286817, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:38\n",
      "2022-02-21 07:51:07 [INFO]\t[TRAIN] Epoch=2/10, Step=360/1230, loss=1.708767, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:51:08 [INFO]\t[TRAIN] Epoch=2/10, Step=370/1230, loss=1.370745, acc1=0.718750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:51:08 [INFO]\t[TRAIN] Epoch=2/10, Step=380/1230, loss=1.207419, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:35\n",
      "2022-02-21 07:51:09 [INFO]\t[TRAIN] Epoch=2/10, Step=390/1230, loss=1.552424, acc1=0.593750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:36\n",
      "2022-02-21 07:51:09 [INFO]\t[TRAIN] Epoch=2/10, Step=400/1230, loss=1.087294, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:39\n",
      "2022-02-21 07:51:10 [INFO]\t[TRAIN] Epoch=2/10, Step=410/1230, loss=1.179440, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:30\n",
      "2022-02-21 07:51:10 [INFO]\t[TRAIN] Epoch=2/10, Step=420/1230, loss=1.515393, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:31\n",
      "2022-02-21 07:51:11 [INFO]\t[TRAIN] Epoch=2/10, Step=430/1230, loss=1.266555, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:34\n",
      "2022-02-21 07:51:11 [INFO]\t[TRAIN] Epoch=2/10, Step=440/1230, loss=1.029692, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:38\n",
      "2022-02-21 07:51:12 [INFO]\t[TRAIN] Epoch=2/10, Step=450/1230, loss=1.506908, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:36\n",
      "2022-02-21 07:51:13 [INFO]\t[TRAIN] Epoch=2/10, Step=460/1230, loss=1.160337, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:33\n",
      "2022-02-21 07:51:13 [INFO]\t[TRAIN] Epoch=2/10, Step=470/1230, loss=1.949369, acc1=0.562500, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:34\n",
      "2022-02-21 07:51:14 [INFO]\t[TRAIN] Epoch=2/10, Step=480/1230, loss=1.299905, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:33\n",
      "2022-02-21 07:51:14 [INFO]\t[TRAIN] Epoch=2/10, Step=490/1230, loss=1.464728, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:30\n",
      "2022-02-21 07:51:15 [INFO]\t[TRAIN] Epoch=2/10, Step=500/1230, loss=1.819140, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:31\n",
      "2022-02-21 07:51:15 [INFO]\t[TRAIN] Epoch=2/10, Step=510/1230, loss=2.083447, acc1=0.531250, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:29\n",
      "2022-02-21 07:51:16 [INFO]\t[TRAIN] Epoch=2/10, Step=520/1230, loss=1.013991, acc1=0.781250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:32\n",
      "2022-02-21 07:51:17 [INFO]\t[TRAIN] Epoch=2/10, Step=530/1230, loss=1.778238, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:27\n",
      "2022-02-21 07:51:17 [INFO]\t[TRAIN] Epoch=2/10, Step=540/1230, loss=1.167073, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:19\n",
      "2022-02-21 07:51:18 [INFO]\t[TRAIN] Epoch=2/10, Step=550/1230, loss=1.155529, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:27\n",
      "2022-02-21 07:51:18 [INFO]\t[TRAIN] Epoch=2/10, Step=560/1230, loss=1.612912, acc1=0.687500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:24\n",
      "2022-02-21 07:51:19 [INFO]\t[TRAIN] Epoch=2/10, Step=570/1230, loss=1.349133, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:33\n",
      "2022-02-21 07:51:19 [INFO]\t[TRAIN] Epoch=2/10, Step=580/1230, loss=1.680468, acc1=0.468750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:23\n",
      "2022-02-21 07:51:20 [INFO]\t[TRAIN] Epoch=2/10, Step=590/1230, loss=1.086650, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:21\n",
      "2022-02-21 07:51:21 [INFO]\t[TRAIN] Epoch=2/10, Step=600/1230, loss=1.569191, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:22\n",
      "2022-02-21 07:51:21 [INFO]\t[TRAIN] Epoch=2/10, Step=610/1230, loss=1.693243, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:29\n",
      "2022-02-21 07:51:22 [INFO]\t[TRAIN] Epoch=2/10, Step=620/1230, loss=0.988387, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:23\n",
      "2022-02-21 07:51:22 [INFO]\t[TRAIN] Epoch=2/10, Step=630/1230, loss=0.821688, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:24\n",
      "2022-02-21 07:51:23 [INFO]\t[TRAIN] Epoch=2/10, Step=640/1230, loss=1.322434, acc1=0.687500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:30\n",
      "2022-02-21 07:51:23 [INFO]\t[TRAIN] Epoch=2/10, Step=650/1230, loss=1.785118, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:21\n",
      "2022-02-21 07:51:24 [INFO]\t[TRAIN] Epoch=2/10, Step=660/1230, loss=1.573249, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:24\n",
      "2022-02-21 07:51:25 [INFO]\t[TRAIN] Epoch=2/10, Step=670/1230, loss=1.203717, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:30\n",
      "2022-02-21 07:51:25 [INFO]\t[TRAIN] Epoch=2/10, Step=680/1230, loss=1.494513, acc1=0.687500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:15\n",
      "2022-02-21 07:51:26 [INFO]\t[TRAIN] Epoch=2/10, Step=690/1230, loss=1.401808, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:16\n",
      "2022-02-21 07:51:26 [INFO]\t[TRAIN] Epoch=2/10, Step=700/1230, loss=1.341482, acc1=0.718750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:17\n",
      "2022-02-21 07:51:27 [INFO]\t[TRAIN] Epoch=2/10, Step=710/1230, loss=1.454720, acc1=0.562500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:16\n",
      "2022-02-21 07:51:27 [INFO]\t[TRAIN] Epoch=2/10, Step=720/1230, loss=1.624329, acc1=0.531250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:15\n",
      "2022-02-21 07:51:28 [INFO]\t[TRAIN] Epoch=2/10, Step=730/1230, loss=1.610783, acc1=0.562500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:14\n",
      "2022-02-21 07:51:29 [INFO]\t[TRAIN] Epoch=2/10, Step=740/1230, loss=1.605909, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:19\n",
      "2022-02-21 07:51:29 [INFO]\t[TRAIN] Epoch=2/10, Step=750/1230, loss=1.113066, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:13\n",
      "2022-02-21 07:51:30 [INFO]\t[TRAIN] Epoch=2/10, Step=760/1230, loss=1.476941, acc1=0.593750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:11\n",
      "2022-02-21 07:51:30 [INFO]\t[TRAIN] Epoch=2/10, Step=770/1230, loss=1.678787, acc1=0.593750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:10\n",
      "2022-02-21 07:51:31 [INFO]\t[TRAIN] Epoch=2/10, Step=780/1230, loss=1.232009, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:17\n",
      "2022-02-21 07:51:31 [INFO]\t[TRAIN] Epoch=2/10, Step=790/1230, loss=1.506931, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:15\n",
      "2022-02-21 07:51:32 [INFO]\t[TRAIN] Epoch=2/10, Step=800/1230, loss=0.802696, acc1=0.750000, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:13\n",
      "2022-02-21 07:51:33 [INFO]\t[TRAIN] Epoch=2/10, Step=810/1230, loss=1.236571, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:14\n",
      "2022-02-21 07:51:33 [INFO]\t[TRAIN] Epoch=2/10, Step=820/1230, loss=1.298414, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:11\n",
      "2022-02-21 07:51:34 [INFO]\t[TRAIN] Epoch=2/10, Step=830/1230, loss=1.497877, acc1=0.593750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:8\n",
      "2022-02-21 07:51:34 [INFO]\t[TRAIN] Epoch=2/10, Step=840/1230, loss=1.565583, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:8\n",
      "2022-02-21 07:51:35 [INFO]\t[TRAIN] Epoch=2/10, Step=850/1230, loss=1.607239, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:8\n",
      "2022-02-21 07:51:35 [INFO]\t[TRAIN] Epoch=2/10, Step=860/1230, loss=1.264885, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:10\n",
      "2022-02-21 07:51:36 [INFO]\t[TRAIN] Epoch=2/10, Step=870/1230, loss=1.157229, acc1=0.593750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:5\n",
      "2022-02-21 07:51:37 [INFO]\t[TRAIN] Epoch=2/10, Step=880/1230, loss=1.203379, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:7\n",
      "2022-02-21 07:51:37 [INFO]\t[TRAIN] Epoch=2/10, Step=890/1230, loss=1.065625, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:1\n",
      "2022-02-21 07:51:38 [INFO]\t[TRAIN] Epoch=2/10, Step=900/1230, loss=1.530750, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:11\n",
      "2022-02-21 07:51:38 [INFO]\t[TRAIN] Epoch=2/10, Step=910/1230, loss=1.478507, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:7\n",
      "2022-02-21 07:51:39 [INFO]\t[TRAIN] Epoch=2/10, Step=920/1230, loss=1.936188, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:10\n",
      "2022-02-21 07:51:39 [INFO]\t[TRAIN] Epoch=2/10, Step=930/1230, loss=1.404182, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:4\n",
      "2022-02-21 07:51:40 [INFO]\t[TRAIN] Epoch=2/10, Step=940/1230, loss=1.702176, acc1=0.625000, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:10:2\n",
      "2022-02-21 07:51:41 [INFO]\t[TRAIN] Epoch=2/10, Step=950/1230, loss=1.198517, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:7\n",
      "2022-02-21 07:51:41 [INFO]\t[TRAIN] Epoch=2/10, Step=960/1230, loss=1.245635, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:12\n",
      "2022-02-21 07:51:42 [INFO]\t[TRAIN] Epoch=2/10, Step=970/1230, loss=0.967077, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:10:7\n",
      "2022-02-21 07:51:42 [INFO]\t[TRAIN] Epoch=2/10, Step=980/1230, loss=0.907967, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:1\n",
      "2022-02-21 07:51:43 [INFO]\t[TRAIN] Epoch=2/10, Step=990/1230, loss=1.240558, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:10:4\n",
      "2022-02-21 07:51:43 [INFO]\t[TRAIN] Epoch=2/10, Step=1000/1230, loss=1.771072, acc1=0.656250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:6\n",
      "2022-02-21 07:51:44 [INFO]\t[TRAIN] Epoch=2/10, Step=1010/1230, loss=1.364542, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:10:4\n",
      "2022-02-21 07:51:45 [INFO]\t[TRAIN] Epoch=2/10, Step=1020/1230, loss=1.060621, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:1\n",
      "2022-02-21 07:51:45 [INFO]\t[TRAIN] Epoch=2/10, Step=1030/1230, loss=1.118140, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:0\n",
      "2022-02-21 07:51:46 [INFO]\t[TRAIN] Epoch=2/10, Step=1040/1230, loss=1.240561, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:10:0\n",
      "2022-02-21 07:51:46 [INFO]\t[TRAIN] Epoch=2/10, Step=1050/1230, loss=0.702849, acc1=0.750000, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:10:6\n",
      "2022-02-21 07:51:47 [INFO]\t[TRAIN] Epoch=2/10, Step=1060/1230, loss=1.331649, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:59\n",
      "2022-02-21 07:51:47 [INFO]\t[TRAIN] Epoch=2/10, Step=1070/1230, loss=1.364692, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:59\n",
      "2022-02-21 07:51:48 [INFO]\t[TRAIN] Epoch=2/10, Step=1080/1230, loss=1.277462, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:10:3\n",
      "2022-02-21 07:51:49 [INFO]\t[TRAIN] Epoch=2/10, Step=1090/1230, loss=1.245846, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:53\n",
      "2022-02-21 07:51:49 [INFO]\t[TRAIN] Epoch=2/10, Step=1100/1230, loss=1.605738, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:10:3\n",
      "2022-02-21 07:51:50 [INFO]\t[TRAIN] Epoch=2/10, Step=1110/1230, loss=1.114658, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:49\n",
      "2022-02-21 07:51:50 [INFO]\t[TRAIN] Epoch=2/10, Step=1120/1230, loss=1.240925, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:50\n",
      "2022-02-21 07:51:51 [INFO]\t[TRAIN] Epoch=2/10, Step=1130/1230, loss=1.319484, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:47\n",
      "2022-02-21 07:51:51 [INFO]\t[TRAIN] Epoch=2/10, Step=1140/1230, loss=1.311914, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:54\n",
      "2022-02-21 07:51:52 [INFO]\t[TRAIN] Epoch=2/10, Step=1150/1230, loss=1.245551, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:53\n",
      "2022-02-21 07:51:52 [INFO]\t[TRAIN] Epoch=2/10, Step=1160/1230, loss=0.702780, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:50\n",
      "2022-02-21 07:51:53 [INFO]\t[TRAIN] Epoch=2/10, Step=1170/1230, loss=1.347006, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:51\n",
      "2022-02-21 07:51:54 [INFO]\t[TRAIN] Epoch=2/10, Step=1180/1230, loss=0.821638, acc1=0.843750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:54\n",
      "2022-02-21 07:51:54 [INFO]\t[TRAIN] Epoch=2/10, Step=1190/1230, loss=0.982497, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:51\n",
      "2022-02-21 07:51:55 [INFO]\t[TRAIN] Epoch=2/10, Step=1200/1230, loss=1.169986, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:53\n",
      "2022-02-21 07:51:55 [INFO]\t[TRAIN] Epoch=2/10, Step=1210/1230, loss=2.297124, acc1=0.500000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:9:42\n",
      "2022-02-21 07:51:56 [INFO]\t[TRAIN] Epoch=2/10, Step=1220/1230, loss=1.374372, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:49\n",
      "2022-02-21 07:51:56 [INFO]\t[TRAIN] Epoch=2/10, Step=1230/1230, loss=0.766155, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:46\n",
      "2022-02-21 07:51:57 [INFO]\t[TRAIN] Epoch 2 finished, loss=1.4099818, acc1=0.65342987, acc5=0.85139734 .\n",
      "2022-02-21 07:51:57 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:52:00 [INFO]\t[EVAL] Finished, Epoch=2, acc1=0.899639, acc5=0.984715 .\n",
      "2022-02-21 07:52:00 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:52:00 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_2, acc1=0.8996389508247375\n",
      "2022-02-21 07:52:01 [INFO]\tModel saved in output/mobilenetv3_small/epoch_2.\n",
      "2022-02-21 07:52:02 [INFO]\t[TRAIN] Epoch=3/10, Step=10/1230, loss=1.300435, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.09s, eta=0:14:32\n",
      "2022-02-21 07:52:02 [INFO]\t[TRAIN] Epoch=3/10, Step=20/1230, loss=1.328685, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:53\n",
      "2022-02-21 07:52:03 [INFO]\t[TRAIN] Epoch=3/10, Step=30/1230, loss=1.545392, acc1=0.531250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:52\n",
      "2022-02-21 07:52:03 [INFO]\t[TRAIN] Epoch=3/10, Step=40/1230, loss=1.512994, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:51\n",
      "2022-02-21 07:52:04 [INFO]\t[TRAIN] Epoch=3/10, Step=50/1230, loss=0.803835, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:50\n",
      "2022-02-21 07:52:05 [INFO]\t[TRAIN] Epoch=3/10, Step=60/1230, loss=1.669483, acc1=0.593750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:55\n",
      "2022-02-21 07:52:05 [INFO]\t[TRAIN] Epoch=3/10, Step=70/1230, loss=1.298933, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:45\n",
      "2022-02-21 07:52:06 [INFO]\t[TRAIN] Epoch=3/10, Step=80/1230, loss=1.005624, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:50\n",
      "2022-02-21 07:52:06 [INFO]\t[TRAIN] Epoch=3/10, Step=90/1230, loss=1.328628, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:50\n",
      "2022-02-21 07:52:07 [INFO]\t[TRAIN] Epoch=3/10, Step=100/1230, loss=1.247004, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:46\n",
      "2022-02-21 07:52:08 [INFO]\t[TRAIN] Epoch=3/10, Step=110/1230, loss=0.961162, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:45\n",
      "2022-02-21 07:52:08 [INFO]\t[TRAIN] Epoch=3/10, Step=120/1230, loss=1.406241, acc1=0.562500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:42\n",
      "2022-02-21 07:52:09 [INFO]\t[TRAIN] Epoch=3/10, Step=130/1230, loss=1.211059, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:39\n",
      "2022-02-21 07:52:09 [INFO]\t[TRAIN] Epoch=3/10, Step=140/1230, loss=1.061722, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:40\n",
      "2022-02-21 07:52:10 [INFO]\t[TRAIN] Epoch=3/10, Step=150/1230, loss=1.666734, acc1=0.531250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:9:42\n",
      "2022-02-21 07:52:10 [INFO]\t[TRAIN] Epoch=3/10, Step=160/1230, loss=1.567822, acc1=0.687500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:51\n",
      "2022-02-21 07:52:11 [INFO]\t[TRAIN] Epoch=3/10, Step=170/1230, loss=1.494703, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:38\n",
      "2022-02-21 07:52:12 [INFO]\t[TRAIN] Epoch=3/10, Step=180/1230, loss=1.203326, acc1=0.781250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:43\n",
      "2022-02-21 07:52:12 [INFO]\t[TRAIN] Epoch=3/10, Step=190/1230, loss=1.214966, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:53\n",
      "2022-02-21 07:52:13 [INFO]\t[TRAIN] Epoch=3/10, Step=200/1230, loss=0.895919, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:38\n",
      "2022-02-21 07:52:13 [INFO]\t[TRAIN] Epoch=3/10, Step=210/1230, loss=0.931241, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:35\n",
      "2022-02-21 07:52:14 [INFO]\t[TRAIN] Epoch=3/10, Step=220/1230, loss=1.677032, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:9:37\n",
      "2022-02-21 07:52:14 [INFO]\t[TRAIN] Epoch=3/10, Step=230/1230, loss=1.295807, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:37\n",
      "2022-02-21 07:52:15 [INFO]\t[TRAIN] Epoch=3/10, Step=240/1230, loss=1.591815, acc1=0.593750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:38\n",
      "2022-02-21 07:52:16 [INFO]\t[TRAIN] Epoch=3/10, Step=250/1230, loss=1.390468, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:35\n",
      "2022-02-21 07:52:16 [INFO]\t[TRAIN] Epoch=3/10, Step=260/1230, loss=1.456041, acc1=0.656250, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:9:38\n",
      "2022-02-21 07:52:17 [INFO]\t[TRAIN] Epoch=3/10, Step=270/1230, loss=1.135237, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:32\n",
      "2022-02-21 07:52:17 [INFO]\t[TRAIN] Epoch=3/10, Step=280/1230, loss=1.067607, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:30\n",
      "2022-02-21 07:52:18 [INFO]\t[TRAIN] Epoch=3/10, Step=290/1230, loss=1.330226, acc1=0.750000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:35\n",
      "2022-02-21 07:52:18 [INFO]\t[TRAIN] Epoch=3/10, Step=300/1230, loss=0.758547, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:28\n",
      "2022-02-21 07:52:19 [INFO]\t[TRAIN] Epoch=3/10, Step=310/1230, loss=0.963972, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:36\n",
      "2022-02-21 07:52:20 [INFO]\t[TRAIN] Epoch=3/10, Step=320/1230, loss=1.511301, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:32\n",
      "2022-02-21 07:52:20 [INFO]\t[TRAIN] Epoch=3/10, Step=330/1230, loss=0.898646, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:28\n",
      "2022-02-21 07:52:21 [INFO]\t[TRAIN] Epoch=3/10, Step=340/1230, loss=1.251155, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:36\n",
      "2022-02-21 07:52:21 [INFO]\t[TRAIN] Epoch=3/10, Step=350/1230, loss=1.479386, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:25\n",
      "2022-02-21 07:52:22 [INFO]\t[TRAIN] Epoch=3/10, Step=360/1230, loss=0.958920, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:37\n",
      "2022-02-21 07:52:22 [INFO]\t[TRAIN] Epoch=3/10, Step=370/1230, loss=1.131466, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:30\n",
      "2022-02-21 07:52:23 [INFO]\t[TRAIN] Epoch=3/10, Step=380/1230, loss=1.631416, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:26\n",
      "2022-02-21 07:52:24 [INFO]\t[TRAIN] Epoch=3/10, Step=390/1230, loss=1.320002, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:30\n",
      "2022-02-21 07:52:24 [INFO]\t[TRAIN] Epoch=3/10, Step=400/1230, loss=1.191693, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:30\n",
      "2022-02-21 07:52:25 [INFO]\t[TRAIN] Epoch=3/10, Step=410/1230, loss=1.059242, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:27\n",
      "2022-02-21 07:52:25 [INFO]\t[TRAIN] Epoch=3/10, Step=420/1230, loss=1.175078, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:26\n",
      "2022-02-21 07:52:26 [INFO]\t[TRAIN] Epoch=3/10, Step=430/1230, loss=0.818002, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:26\n",
      "2022-02-21 07:52:26 [INFO]\t[TRAIN] Epoch=3/10, Step=440/1230, loss=1.237790, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:24\n",
      "2022-02-21 07:52:27 [INFO]\t[TRAIN] Epoch=3/10, Step=450/1230, loss=1.417139, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:24\n",
      "2022-02-21 07:52:28 [INFO]\t[TRAIN] Epoch=3/10, Step=460/1230, loss=0.793903, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:19\n",
      "2022-02-21 07:52:28 [INFO]\t[TRAIN] Epoch=3/10, Step=470/1230, loss=0.826463, acc1=0.781250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:25\n",
      "2022-02-21 07:52:29 [INFO]\t[TRAIN] Epoch=3/10, Step=480/1230, loss=1.165610, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:19\n",
      "2022-02-21 07:52:29 [INFO]\t[TRAIN] Epoch=3/10, Step=490/1230, loss=1.110151, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:42\n",
      "2022-02-21 07:52:30 [INFO]\t[TRAIN] Epoch=3/10, Step=500/1230, loss=1.093433, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:31 [INFO]\t[TRAIN] Epoch=3/10, Step=510/1230, loss=1.168519, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:23\n",
      "2022-02-21 07:52:31 [INFO]\t[TRAIN] Epoch=3/10, Step=520/1230, loss=1.265794, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:22\n",
      "2022-02-21 07:52:32 [INFO]\t[TRAIN] Epoch=3/10, Step=530/1230, loss=1.058089, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:9\n",
      "2022-02-21 07:52:32 [INFO]\t[TRAIN] Epoch=3/10, Step=540/1230, loss=1.199412, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:4\n",
      "2022-02-21 07:52:33 [INFO]\t[TRAIN] Epoch=3/10, Step=550/1230, loss=0.515934, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:20\n",
      "2022-02-21 07:52:33 [INFO]\t[TRAIN] Epoch=3/10, Step=560/1230, loss=0.687945, acc1=0.843750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:8\n",
      "2022-02-21 07:52:34 [INFO]\t[TRAIN] Epoch=3/10, Step=570/1230, loss=1.318380, acc1=0.562500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:14\n",
      "2022-02-21 07:52:35 [INFO]\t[TRAIN] Epoch=3/10, Step=580/1230, loss=1.605080, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:11\n",
      "2022-02-21 07:52:35 [INFO]\t[TRAIN] Epoch=3/10, Step=590/1230, loss=1.142806, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:16\n",
      "2022-02-21 07:52:36 [INFO]\t[TRAIN] Epoch=3/10, Step=600/1230, loss=0.810922, acc1=0.843750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:16\n",
      "2022-02-21 07:52:36 [INFO]\t[TRAIN] Epoch=3/10, Step=610/1230, loss=2.228207, acc1=0.468750, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:9:15\n",
      "2022-02-21 07:52:37 [INFO]\t[TRAIN] Epoch=3/10, Step=620/1230, loss=1.000420, acc1=0.656250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:9:15\n",
      "2022-02-21 07:52:37 [INFO]\t[TRAIN] Epoch=3/10, Step=630/1230, loss=0.471266, acc1=0.843750, acc5=1.000000, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:38 [INFO]\t[TRAIN] Epoch=3/10, Step=640/1230, loss=1.015377, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:39 [INFO]\t[TRAIN] Epoch=3/10, Step=650/1230, loss=1.193052, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:6\n",
      "2022-02-21 07:52:39 [INFO]\t[TRAIN] Epoch=3/10, Step=660/1230, loss=1.708529, acc1=0.531250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:11\n",
      "2022-02-21 07:52:40 [INFO]\t[TRAIN] Epoch=3/10, Step=670/1230, loss=0.721780, acc1=0.843750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:9:13\n",
      "2022-02-21 07:52:40 [INFO]\t[TRAIN] Epoch=3/10, Step=680/1230, loss=1.276646, acc1=0.718750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:41 [INFO]\t[TRAIN] Epoch=3/10, Step=690/1230, loss=1.825398, acc1=0.562500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:9:6\n",
      "2022-02-21 07:52:41 [INFO]\t[TRAIN] Epoch=3/10, Step=700/1230, loss=0.813773, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:12\n",
      "2022-02-21 07:52:42 [INFO]\t[TRAIN] Epoch=3/10, Step=710/1230, loss=1.065876, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:19\n",
      "2022-02-21 07:52:43 [INFO]\t[TRAIN] Epoch=3/10, Step=720/1230, loss=1.690322, acc1=0.593750, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:9:14\n",
      "2022-02-21 07:52:43 [INFO]\t[TRAIN] Epoch=3/10, Step=730/1230, loss=1.169706, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:14\n",
      "2022-02-21 07:52:44 [INFO]\t[TRAIN] Epoch=3/10, Step=740/1230, loss=0.718679, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:44 [INFO]\t[TRAIN] Epoch=3/10, Step=750/1230, loss=1.072867, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:10\n",
      "2022-02-21 07:52:45 [INFO]\t[TRAIN] Epoch=3/10, Step=760/1230, loss=1.388950, acc1=0.625000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:8\n",
      "2022-02-21 07:52:45 [INFO]\t[TRAIN] Epoch=3/10, Step=770/1230, loss=0.793279, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:9:6\n",
      "2022-02-21 07:52:46 [INFO]\t[TRAIN] Epoch=3/10, Step=780/1230, loss=1.187085, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:7\n",
      "2022-02-21 07:52:47 [INFO]\t[TRAIN] Epoch=3/10, Step=790/1230, loss=0.925634, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:6\n",
      "2022-02-21 07:52:47 [INFO]\t[TRAIN] Epoch=3/10, Step=800/1230, loss=0.779746, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:3\n",
      "2022-02-21 07:52:48 [INFO]\t[TRAIN] Epoch=3/10, Step=810/1230, loss=1.094338, acc1=0.781250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:9:4\n",
      "2022-02-21 07:52:48 [INFO]\t[TRAIN] Epoch=3/10, Step=820/1230, loss=1.323288, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:7\n",
      "2022-02-21 07:52:49 [INFO]\t[TRAIN] Epoch=3/10, Step=830/1230, loss=1.191886, acc1=0.562500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:0\n",
      "2022-02-21 07:52:49 [INFO]\t[TRAIN] Epoch=3/10, Step=840/1230, loss=1.291454, acc1=0.593750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:6\n",
      "2022-02-21 07:52:50 [INFO]\t[TRAIN] Epoch=3/10, Step=850/1230, loss=1.312812, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:59\n",
      "2022-02-21 07:52:51 [INFO]\t[TRAIN] Epoch=3/10, Step=860/1230, loss=1.185974, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:59\n",
      "2022-02-21 07:52:51 [INFO]\t[TRAIN] Epoch=3/10, Step=870/1230, loss=0.887315, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:9:8\n",
      "2022-02-21 07:52:52 [INFO]\t[TRAIN] Epoch=3/10, Step=880/1230, loss=1.487281, acc1=0.625000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:9:21\n",
      "2022-02-21 07:52:52 [INFO]\t[TRAIN] Epoch=3/10, Step=890/1230, loss=1.443285, acc1=0.562500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:51\n",
      "2022-02-21 07:52:53 [INFO]\t[TRAIN] Epoch=3/10, Step=900/1230, loss=0.684764, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:56\n",
      "2022-02-21 07:52:53 [INFO]\t[TRAIN] Epoch=3/10, Step=910/1230, loss=1.451052, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:56\n",
      "2022-02-21 07:52:54 [INFO]\t[TRAIN] Epoch=3/10, Step=920/1230, loss=1.151544, acc1=0.812500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:58\n",
      "2022-02-21 07:52:55 [INFO]\t[TRAIN] Epoch=3/10, Step=930/1230, loss=1.051442, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:57\n",
      "2022-02-21 07:52:55 [INFO]\t[TRAIN] Epoch=3/10, Step=940/1230, loss=1.047061, acc1=0.750000, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:49\n",
      "2022-02-21 07:52:56 [INFO]\t[TRAIN] Epoch=3/10, Step=950/1230, loss=1.510486, acc1=0.562500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:55\n",
      "2022-02-21 07:52:56 [INFO]\t[TRAIN] Epoch=3/10, Step=960/1230, loss=1.826281, acc1=0.625000, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:8:56\n",
      "2022-02-21 07:52:57 [INFO]\t[TRAIN] Epoch=3/10, Step=970/1230, loss=0.987249, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:54\n",
      "2022-02-21 07:52:58 [INFO]\t[TRAIN] Epoch=3/10, Step=980/1230, loss=0.727246, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:51\n",
      "2022-02-21 07:52:58 [INFO]\t[TRAIN] Epoch=3/10, Step=990/1230, loss=1.329428, acc1=0.687500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:53\n",
      "2022-02-21 07:52:59 [INFO]\t[TRAIN] Epoch=3/10, Step=1000/1230, loss=1.183718, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:55\n",
      "2022-02-21 07:52:59 [INFO]\t[TRAIN] Epoch=3/10, Step=1010/1230, loss=1.445493, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:51\n",
      "2022-02-21 07:53:00 [INFO]\t[TRAIN] Epoch=3/10, Step=1020/1230, loss=1.218710, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:56\n",
      "2022-02-21 07:53:00 [INFO]\t[TRAIN] Epoch=3/10, Step=1030/1230, loss=1.110409, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:45\n",
      "2022-02-21 07:53:01 [INFO]\t[TRAIN] Epoch=3/10, Step=1040/1230, loss=1.151068, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:53\n",
      "2022-02-21 07:53:02 [INFO]\t[TRAIN] Epoch=3/10, Step=1050/1230, loss=1.006162, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:51\n",
      "2022-02-21 07:53:02 [INFO]\t[TRAIN] Epoch=3/10, Step=1060/1230, loss=1.182007, acc1=0.687500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:52\n",
      "2022-02-21 07:53:03 [INFO]\t[TRAIN] Epoch=3/10, Step=1070/1230, loss=1.303269, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:51\n",
      "2022-02-21 07:53:03 [INFO]\t[TRAIN] Epoch=3/10, Step=1080/1230, loss=0.822078, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:47\n",
      "2022-02-21 07:53:04 [INFO]\t[TRAIN] Epoch=3/10, Step=1090/1230, loss=1.211417, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:58\n",
      "2022-02-21 07:53:04 [INFO]\t[TRAIN] Epoch=3/10, Step=1100/1230, loss=1.204620, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:48\n",
      "2022-02-21 07:53:05 [INFO]\t[TRAIN] Epoch=3/10, Step=1110/1230, loss=1.383676, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:9:5\n",
      "2022-02-21 07:53:06 [INFO]\t[TRAIN] Epoch=3/10, Step=1120/1230, loss=1.103521, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:39\n",
      "2022-02-21 07:53:06 [INFO]\t[TRAIN] Epoch=3/10, Step=1130/1230, loss=0.710037, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:44\n",
      "2022-02-21 07:53:07 [INFO]\t[TRAIN] Epoch=3/10, Step=1140/1230, loss=0.401097, acc1=0.968750, acc5=1.000000, lr=0.025000, time_each_step=0.06s, eta=0:8:42\n",
      "2022-02-21 07:53:07 [INFO]\t[TRAIN] Epoch=3/10, Step=1150/1230, loss=1.419938, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:43\n",
      "2022-02-21 07:53:08 [INFO]\t[TRAIN] Epoch=3/10, Step=1160/1230, loss=0.953813, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:40\n",
      "2022-02-21 07:53:08 [INFO]\t[TRAIN] Epoch=3/10, Step=1170/1230, loss=1.276780, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:41\n",
      "2022-02-21 07:53:09 [INFO]\t[TRAIN] Epoch=3/10, Step=1180/1230, loss=0.852363, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:45\n",
      "2022-02-21 07:53:10 [INFO]\t[TRAIN] Epoch=3/10, Step=1190/1230, loss=1.699884, acc1=0.593750, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:44\n",
      "2022-02-21 07:53:10 [INFO]\t[TRAIN] Epoch=3/10, Step=1200/1230, loss=1.006608, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:38\n",
      "2022-02-21 07:53:11 [INFO]\t[TRAIN] Epoch=3/10, Step=1210/1230, loss=1.706451, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:8:42\n",
      "2022-02-21 07:53:11 [INFO]\t[TRAIN] Epoch=3/10, Step=1220/1230, loss=1.085136, acc1=0.812500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:40\n",
      "2022-02-21 07:53:12 [INFO]\t[TRAIN] Epoch=3/10, Step=1230/1230, loss=0.692832, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:44\n",
      "2022-02-21 07:53:12 [INFO]\t[TRAIN] Epoch 3 finished, loss=1.1914071, acc1=0.7039126, acc5=0.8807927 .\n",
      "2022-02-21 07:53:12 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:53:15 [INFO]\t[EVAL] Finished, Epoch=3, acc1=0.932366, acc5=0.994186 .\n",
      "2022-02-21 07:53:16 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:53:16 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_3, acc1=0.9323658347129822\n",
      "2022-02-21 07:53:16 [INFO]\tModel saved in output/mobilenetv3_small/epoch_3.\n",
      "2022-02-21 07:53:17 [INFO]\t[TRAIN] Epoch=4/10, Step=10/1230, loss=1.120726, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.09s, eta=0:12:41\n",
      "2022-02-21 07:53:18 [INFO]\t[TRAIN] Epoch=4/10, Step=20/1230, loss=1.064419, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:35\n",
      "2022-02-21 07:53:18 [INFO]\t[TRAIN] Epoch=4/10, Step=30/1230, loss=1.237565, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:31\n",
      "2022-02-21 07:53:19 [INFO]\t[TRAIN] Epoch=4/10, Step=40/1230, loss=1.305847, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:45\n",
      "2022-02-21 07:53:19 [INFO]\t[TRAIN] Epoch=4/10, Step=50/1230, loss=0.796406, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:18\n",
      "2022-02-21 07:53:20 [INFO]\t[TRAIN] Epoch=4/10, Step=60/1230, loss=1.838608, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:28\n",
      "2022-02-21 07:53:21 [INFO]\t[TRAIN] Epoch=4/10, Step=70/1230, loss=1.035297, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:27\n",
      "2022-02-21 07:53:21 [INFO]\t[TRAIN] Epoch=4/10, Step=80/1230, loss=1.071358, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:30\n",
      "2022-02-21 07:53:22 [INFO]\t[TRAIN] Epoch=4/10, Step=90/1230, loss=1.046214, acc1=0.687500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:26\n",
      "2022-02-21 07:53:22 [INFO]\t[TRAIN] Epoch=4/10, Step=100/1230, loss=1.272968, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:22\n",
      "2022-02-21 07:53:23 [INFO]\t[TRAIN] Epoch=4/10, Step=110/1230, loss=1.181310, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:24\n",
      "2022-02-21 07:53:23 [INFO]\t[TRAIN] Epoch=4/10, Step=120/1230, loss=0.803052, acc1=0.812500, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:22\n",
      "2022-02-21 07:53:24 [INFO]\t[TRAIN] Epoch=4/10, Step=130/1230, loss=0.633701, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:25\n",
      "2022-02-21 07:53:25 [INFO]\t[TRAIN] Epoch=4/10, Step=140/1230, loss=1.082307, acc1=0.625000, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:34\n",
      "2022-02-21 07:53:25 [INFO]\t[TRAIN] Epoch=4/10, Step=150/1230, loss=1.741049, acc1=0.625000, acc5=0.750000, lr=0.025000, time_each_step=0.05s, eta=0:8:5\n",
      "2022-02-21 07:53:26 [INFO]\t[TRAIN] Epoch=4/10, Step=160/1230, loss=1.244890, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:15\n",
      "2022-02-21 07:53:26 [INFO]\t[TRAIN] Epoch=4/10, Step=170/1230, loss=1.186414, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:16\n",
      "2022-02-21 07:53:27 [INFO]\t[TRAIN] Epoch=4/10, Step=180/1230, loss=1.163010, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:16\n",
      "2022-02-21 07:53:27 [INFO]\t[TRAIN] Epoch=4/10, Step=190/1230, loss=1.026073, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:15\n",
      "2022-02-21 07:53:28 [INFO]\t[TRAIN] Epoch=4/10, Step=200/1230, loss=1.298501, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:24\n",
      "2022-02-21 07:53:29 [INFO]\t[TRAIN] Epoch=4/10, Step=210/1230, loss=1.047291, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:18\n",
      "2022-02-21 07:53:29 [INFO]\t[TRAIN] Epoch=4/10, Step=220/1230, loss=1.649172, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:17\n",
      "2022-02-21 07:53:30 [INFO]\t[TRAIN] Epoch=4/10, Step=230/1230, loss=0.764011, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:15\n",
      "2022-02-21 07:53:30 [INFO]\t[TRAIN] Epoch=4/10, Step=240/1230, loss=0.912354, acc1=0.718750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:13\n",
      "2022-02-21 07:53:31 [INFO]\t[TRAIN] Epoch=4/10, Step=250/1230, loss=1.210799, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:18\n",
      "2022-02-21 07:53:31 [INFO]\t[TRAIN] Epoch=4/10, Step=260/1230, loss=1.316251, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:8\n",
      "2022-02-21 07:53:32 [INFO]\t[TRAIN] Epoch=4/10, Step=270/1230, loss=1.238293, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:21\n",
      "2022-02-21 07:53:33 [INFO]\t[TRAIN] Epoch=4/10, Step=280/1230, loss=0.743200, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:16\n",
      "2022-02-21 07:53:33 [INFO]\t[TRAIN] Epoch=4/10, Step=290/1230, loss=1.135930, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:10\n",
      "2022-02-21 07:53:34 [INFO]\t[TRAIN] Epoch=4/10, Step=300/1230, loss=0.310515, acc1=0.906250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:3\n",
      "2022-02-21 07:53:34 [INFO]\t[TRAIN] Epoch=4/10, Step=310/1230, loss=1.136060, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:7\n",
      "2022-02-21 07:53:35 [INFO]\t[TRAIN] Epoch=4/10, Step=320/1230, loss=0.903686, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:13\n",
      "2022-02-21 07:53:35 [INFO]\t[TRAIN] Epoch=4/10, Step=330/1230, loss=0.906474, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:9\n",
      "2022-02-21 07:53:36 [INFO]\t[TRAIN] Epoch=4/10, Step=340/1230, loss=0.501692, acc1=0.875000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:8\n",
      "2022-02-21 07:53:36 [INFO]\t[TRAIN] Epoch=4/10, Step=350/1230, loss=0.400801, acc1=0.906250, acc5=1.000000, lr=0.025000, time_each_step=0.06s, eta=0:8:7\n",
      "2022-02-21 07:53:37 [INFO]\t[TRAIN] Epoch=4/10, Step=360/1230, loss=1.393904, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:7\n",
      "2022-02-21 07:53:38 [INFO]\t[TRAIN] Epoch=4/10, Step=370/1230, loss=1.141628, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:4\n",
      "2022-02-21 07:53:38 [INFO]\t[TRAIN] Epoch=4/10, Step=380/1230, loss=0.993130, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:7\n",
      "2022-02-21 07:53:39 [INFO]\t[TRAIN] Epoch=4/10, Step=390/1230, loss=1.051334, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:8:4\n",
      "2022-02-21 07:53:39 [INFO]\t[TRAIN] Epoch=4/10, Step=400/1230, loss=1.152297, acc1=0.656250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:5\n",
      "2022-02-21 07:53:40 [INFO]\t[TRAIN] Epoch=4/10, Step=410/1230, loss=0.747472, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:7\n",
      "2022-02-21 07:53:40 [INFO]\t[TRAIN] Epoch=4/10, Step=420/1230, loss=0.763387, acc1=0.843750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:8\n",
      "2022-02-21 07:53:41 [INFO]\t[TRAIN] Epoch=4/10, Step=430/1230, loss=1.000256, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:3\n",
      "2022-02-21 07:53:42 [INFO]\t[TRAIN] Epoch=4/10, Step=440/1230, loss=0.648459, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:3\n",
      "2022-02-21 07:53:42 [INFO]\t[TRAIN] Epoch=4/10, Step=450/1230, loss=1.100335, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:8:8\n",
      "2022-02-21 07:53:43 [INFO]\t[TRAIN] Epoch=4/10, Step=460/1230, loss=0.589180, acc1=0.812500, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:6\n",
      "2022-02-21 07:53:43 [INFO]\t[TRAIN] Epoch=4/10, Step=470/1230, loss=0.539997, acc1=0.875000, acc5=1.000000, lr=0.025000, time_each_step=0.06s, eta=0:8:4\n",
      "2022-02-21 07:53:44 [INFO]\t[TRAIN] Epoch=4/10, Step=480/1230, loss=1.264132, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:4\n",
      "2022-02-21 07:53:44 [INFO]\t[TRAIN] Epoch=4/10, Step=490/1230, loss=1.003214, acc1=0.843750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:0\n",
      "2022-02-21 07:53:45 [INFO]\t[TRAIN] Epoch=4/10, Step=500/1230, loss=1.272311, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:2\n",
      "2022-02-21 07:53:46 [INFO]\t[TRAIN] Epoch=4/10, Step=510/1230, loss=1.215949, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:8:4\n",
      "2022-02-21 07:53:46 [INFO]\t[TRAIN] Epoch=4/10, Step=520/1230, loss=0.899590, acc1=0.687500, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:7:56\n",
      "2022-02-21 07:53:47 [INFO]\t[TRAIN] Epoch=4/10, Step=530/1230, loss=1.809148, acc1=0.531250, acc5=0.718750, lr=0.025000, time_each_step=0.06s, eta=0:7:56\n",
      "2022-02-21 07:53:47 [INFO]\t[TRAIN] Epoch=4/10, Step=540/1230, loss=1.301992, acc1=0.718750, acc5=0.750000, lr=0.025000, time_each_step=0.06s, eta=0:8:2\n",
      "2022-02-21 07:53:48 [INFO]\t[TRAIN] Epoch=4/10, Step=550/1230, loss=1.216511, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:58\n",
      "2022-02-21 07:53:48 [INFO]\t[TRAIN] Epoch=4/10, Step=560/1230, loss=0.639131, acc1=0.812500, acc5=1.000000, lr=0.025000, time_each_step=0.06s, eta=0:7:53\n",
      "2022-02-21 07:53:49 [INFO]\t[TRAIN] Epoch=4/10, Step=570/1230, loss=1.116755, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:58\n",
      "2022-02-21 07:53:49 [INFO]\t[TRAIN] Epoch=4/10, Step=580/1230, loss=1.021164, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:58\n",
      "2022-02-21 07:53:50 [INFO]\t[TRAIN] Epoch=4/10, Step=590/1230, loss=0.797103, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:59\n",
      "2022-02-21 07:53:51 [INFO]\t[TRAIN] Epoch=4/10, Step=600/1230, loss=1.096808, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:59\n",
      "2022-02-21 07:53:51 [INFO]\t[TRAIN] Epoch=4/10, Step=610/1230, loss=0.715353, acc1=0.718750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:8:1\n",
      "2022-02-21 07:53:52 [INFO]\t[TRAIN] Epoch=4/10, Step=620/1230, loss=1.250186, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:55\n",
      "2022-02-21 07:53:52 [INFO]\t[TRAIN] Epoch=4/10, Step=630/1230, loss=1.472393, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:8:1\n",
      "2022-02-21 07:53:53 [INFO]\t[TRAIN] Epoch=4/10, Step=640/1230, loss=1.225566, acc1=0.812500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:58\n",
      "2022-02-21 07:53:53 [INFO]\t[TRAIN] Epoch=4/10, Step=650/1230, loss=0.694615, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:59\n",
      "2022-02-21 07:53:54 [INFO]\t[TRAIN] Epoch=4/10, Step=660/1230, loss=1.050930, acc1=0.781250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:8:37\n",
      "2022-02-21 07:53:55 [INFO]\t[TRAIN] Epoch=4/10, Step=670/1230, loss=1.146219, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:52\n",
      "2022-02-21 07:53:55 [INFO]\t[TRAIN] Epoch=4/10, Step=680/1230, loss=0.763400, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:53\n",
      "2022-02-21 07:53:56 [INFO]\t[TRAIN] Epoch=4/10, Step=690/1230, loss=1.352945, acc1=0.687500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:55\n",
      "2022-02-21 07:53:56 [INFO]\t[TRAIN] Epoch=4/10, Step=700/1230, loss=0.883952, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:52\n",
      "2022-02-21 07:53:57 [INFO]\t[TRAIN] Epoch=4/10, Step=710/1230, loss=0.818875, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:53\n",
      "2022-02-21 07:53:58 [INFO]\t[TRAIN] Epoch=4/10, Step=720/1230, loss=1.186966, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:56\n",
      "2022-02-21 07:53:58 [INFO]\t[TRAIN] Epoch=4/10, Step=730/1230, loss=1.266471, acc1=0.718750, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:55\n",
      "2022-02-21 07:53:59 [INFO]\t[TRAIN] Epoch=4/10, Step=740/1230, loss=1.130029, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:54\n",
      "2022-02-21 07:53:59 [INFO]\t[TRAIN] Epoch=4/10, Step=750/1230, loss=1.572722, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:56\n",
      "2022-02-21 07:54:00 [INFO]\t[TRAIN] Epoch=4/10, Step=760/1230, loss=1.394804, acc1=0.593750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:52\n",
      "2022-02-21 07:54:00 [INFO]\t[TRAIN] Epoch=4/10, Step=770/1230, loss=1.070087, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:57\n",
      "2022-02-21 07:54:01 [INFO]\t[TRAIN] Epoch=4/10, Step=780/1230, loss=0.970307, acc1=0.656250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:55\n",
      "2022-02-21 07:54:02 [INFO]\t[TRAIN] Epoch=4/10, Step=790/1230, loss=1.170774, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:49\n",
      "2022-02-21 07:54:02 [INFO]\t[TRAIN] Epoch=4/10, Step=800/1230, loss=0.907714, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:50\n",
      "2022-02-21 07:54:03 [INFO]\t[TRAIN] Epoch=4/10, Step=810/1230, loss=0.804706, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:49\n",
      "2022-02-21 07:54:03 [INFO]\t[TRAIN] Epoch=4/10, Step=820/1230, loss=1.050119, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:50\n",
      "2022-02-21 07:54:04 [INFO]\t[TRAIN] Epoch=4/10, Step=830/1230, loss=1.011988, acc1=0.718750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:46\n",
      "2022-02-21 07:54:04 [INFO]\t[TRAIN] Epoch=4/10, Step=840/1230, loss=0.803202, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:48\n",
      "2022-02-21 07:54:05 [INFO]\t[TRAIN] Epoch=4/10, Step=850/1230, loss=0.702647, acc1=0.750000, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:52\n",
      "2022-02-21 07:54:06 [INFO]\t[TRAIN] Epoch=4/10, Step=860/1230, loss=0.626463, acc1=0.843750, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:7:46\n",
      "2022-02-21 07:54:06 [INFO]\t[TRAIN] Epoch=4/10, Step=870/1230, loss=0.912939, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:49\n",
      "2022-02-21 07:54:07 [INFO]\t[TRAIN] Epoch=4/10, Step=880/1230, loss=0.553613, acc1=0.812500, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:7:46\n",
      "2022-02-21 07:54:07 [INFO]\t[TRAIN] Epoch=4/10, Step=890/1230, loss=0.876919, acc1=0.843750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:54\n",
      "2022-02-21 07:54:08 [INFO]\t[TRAIN] Epoch=4/10, Step=900/1230, loss=1.383372, acc1=0.562500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:32\n",
      "2022-02-21 07:54:08 [INFO]\t[TRAIN] Epoch=4/10, Step=910/1230, loss=1.347864, acc1=0.593750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:40\n",
      "2022-02-21 07:54:09 [INFO]\t[TRAIN] Epoch=4/10, Step=920/1230, loss=1.567613, acc1=0.625000, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:7:41\n",
      "2022-02-21 07:54:10 [INFO]\t[TRAIN] Epoch=4/10, Step=930/1230, loss=1.293889, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:34\n",
      "2022-02-21 07:54:10 [INFO]\t[TRAIN] Epoch=4/10, Step=940/1230, loss=0.813346, acc1=0.781250, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:40\n",
      "2022-02-21 07:54:11 [INFO]\t[TRAIN] Epoch=4/10, Step=950/1230, loss=1.359172, acc1=0.750000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:7:37\n",
      "2022-02-21 07:54:11 [INFO]\t[TRAIN] Epoch=4/10, Step=960/1230, loss=1.229111, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:40\n",
      "2022-02-21 07:54:12 [INFO]\t[TRAIN] Epoch=4/10, Step=970/1230, loss=0.918057, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:37\n",
      "2022-02-21 07:54:12 [INFO]\t[TRAIN] Epoch=4/10, Step=980/1230, loss=1.626273, acc1=0.656250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:39\n",
      "2022-02-21 07:54:13 [INFO]\t[TRAIN] Epoch=4/10, Step=990/1230, loss=1.031842, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:37\n",
      "2022-02-21 07:54:14 [INFO]\t[TRAIN] Epoch=4/10, Step=1000/1230, loss=1.372149, acc1=0.656250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:39\n",
      "2022-02-21 07:54:14 [INFO]\t[TRAIN] Epoch=4/10, Step=1010/1230, loss=1.154124, acc1=0.750000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:40\n",
      "2022-02-21 07:54:15 [INFO]\t[TRAIN] Epoch=4/10, Step=1020/1230, loss=1.259604, acc1=0.687500, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:7:33\n",
      "2022-02-21 07:54:15 [INFO]\t[TRAIN] Epoch=4/10, Step=1030/1230, loss=1.009345, acc1=0.781250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:37\n",
      "2022-02-21 07:54:16 [INFO]\t[TRAIN] Epoch=4/10, Step=1040/1230, loss=1.460783, acc1=0.656250, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:31\n",
      "2022-02-21 07:54:16 [INFO]\t[TRAIN] Epoch=4/10, Step=1050/1230, loss=1.318310, acc1=0.687500, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:42\n",
      "2022-02-21 07:54:17 [INFO]\t[TRAIN] Epoch=4/10, Step=1060/1230, loss=0.718762, acc1=0.812500, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:33\n",
      "2022-02-21 07:54:18 [INFO]\t[TRAIN] Epoch=4/10, Step=1070/1230, loss=1.560402, acc1=0.562500, acc5=0.781250, lr=0.025000, time_each_step=0.06s, eta=0:7:30\n",
      "2022-02-21 07:54:18 [INFO]\t[TRAIN] Epoch=4/10, Step=1080/1230, loss=0.648840, acc1=0.781250, acc5=0.968750, lr=0.025000, time_each_step=0.06s, eta=0:7:34\n",
      "2022-02-21 07:54:19 [INFO]\t[TRAIN] Epoch=4/10, Step=1090/1230, loss=1.405661, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:36\n",
      "2022-02-21 07:54:19 [INFO]\t[TRAIN] Epoch=4/10, Step=1100/1230, loss=0.949146, acc1=0.781250, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:32\n",
      "2022-02-21 07:54:20 [INFO]\t[TRAIN] Epoch=4/10, Step=1110/1230, loss=1.011403, acc1=0.687500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:29\n",
      "2022-02-21 07:54:20 [INFO]\t[TRAIN] Epoch=4/10, Step=1120/1230, loss=1.445931, acc1=0.562500, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:30\n",
      "2022-02-21 07:54:21 [INFO]\t[TRAIN] Epoch=4/10, Step=1130/1230, loss=0.944045, acc1=0.750000, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:30\n",
      "2022-02-21 07:54:22 [INFO]\t[TRAIN] Epoch=4/10, Step=1140/1230, loss=0.612209, acc1=0.843750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:28\n",
      "2022-02-21 07:54:22 [INFO]\t[TRAIN] Epoch=4/10, Step=1150/1230, loss=1.441061, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:31\n",
      "2022-02-21 07:54:23 [INFO]\t[TRAIN] Epoch=4/10, Step=1160/1230, loss=1.951827, acc1=0.625000, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:24\n",
      "2022-02-21 07:54:23 [INFO]\t[TRAIN] Epoch=4/10, Step=1170/1230, loss=1.378561, acc1=0.687500, acc5=0.843750, lr=0.025000, time_each_step=0.06s, eta=0:7:28\n",
      "2022-02-21 07:54:24 [INFO]\t[TRAIN] Epoch=4/10, Step=1180/1230, loss=1.591878, acc1=0.656250, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:7:27\n",
      "2022-02-21 07:54:25 [INFO]\t[TRAIN] Epoch=4/10, Step=1190/1230, loss=0.978579, acc1=0.718750, acc5=0.937500, lr=0.025000, time_each_step=0.06s, eta=0:7:31\n",
      "2022-02-21 07:54:25 [INFO]\t[TRAIN] Epoch=4/10, Step=1200/1230, loss=0.815435, acc1=0.843750, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:23\n",
      "2022-02-21 07:54:26 [INFO]\t[TRAIN] Epoch=4/10, Step=1210/1230, loss=1.516844, acc1=0.625000, acc5=0.812500, lr=0.025000, time_each_step=0.06s, eta=0:7:26\n",
      "2022-02-21 07:54:26 [INFO]\t[TRAIN] Epoch=4/10, Step=1220/1230, loss=1.137224, acc1=0.781250, acc5=0.906250, lr=0.025000, time_each_step=0.06s, eta=0:7:20\n",
      "2022-02-21 07:54:27 [INFO]\t[TRAIN] Epoch=4/10, Step=1230/1230, loss=1.189084, acc1=0.718750, acc5=0.875000, lr=0.025000, time_each_step=0.06s, eta=0:7:20\n",
      "2022-02-21 07:54:27 [INFO]\t[TRAIN] Epoch 4 finished, loss=1.0564722, acc1=0.7330285, acc5=0.8964939 .\n",
      "2022-02-21 07:54:27 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:54:30 [INFO]\t[EVAL] Finished, Epoch=4, acc1=0.945471, acc5=0.996343 .\n",
      "2022-02-21 07:54:30 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:54:30 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_4, acc1=0.9454707503318787\n",
      "2022-02-21 07:54:31 [INFO]\tModel saved in output/mobilenetv3_small/epoch_4.\n",
      "2022-02-21 07:54:32 [INFO]\t[TRAIN] Epoch=5/10, Step=10/1230, loss=0.829185, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.09s, eta=0:11:21\n",
      "2022-02-21 07:54:33 [INFO]\t[TRAIN] Epoch=5/10, Step=20/1230, loss=0.533072, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:7:15\n",
      "2022-02-21 07:54:33 [INFO]\t[TRAIN] Epoch=5/10, Step=30/1230, loss=0.869228, acc1=0.687500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:15\n",
      "2022-02-21 07:54:34 [INFO]\t[TRAIN] Epoch=5/10, Step=40/1230, loss=0.649354, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:20\n",
      "2022-02-21 07:54:34 [INFO]\t[TRAIN] Epoch=5/10, Step=50/1230, loss=0.581853, acc1=0.812500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:7:14\n",
      "2022-02-21 07:54:35 [INFO]\t[TRAIN] Epoch=5/10, Step=60/1230, loss=0.485561, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:7:14\n",
      "2022-02-21 07:54:36 [INFO]\t[TRAIN] Epoch=5/10, Step=70/1230, loss=1.017983, acc1=0.687500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:7:17\n",
      "2022-02-21 07:54:36 [INFO]\t[TRAIN] Epoch=5/10, Step=80/1230, loss=1.494249, acc1=0.687500, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:7:11\n",
      "2022-02-21 07:54:37 [INFO]\t[TRAIN] Epoch=5/10, Step=90/1230, loss=0.758526, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:7\n",
      "2022-02-21 07:54:37 [INFO]\t[TRAIN] Epoch=5/10, Step=100/1230, loss=1.423570, acc1=0.656250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:8\n",
      "2022-02-21 07:54:38 [INFO]\t[TRAIN] Epoch=5/10, Step=110/1230, loss=0.555052, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:7\n",
      "2022-02-21 07:54:38 [INFO]\t[TRAIN] Epoch=5/10, Step=120/1230, loss=0.623853, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:39 [INFO]\t[TRAIN] Epoch=5/10, Step=130/1230, loss=1.055360, acc1=0.781250, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:7:3\n",
      "2022-02-21 07:54:39 [INFO]\t[TRAIN] Epoch=5/10, Step=140/1230, loss=0.845905, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:5\n",
      "2022-02-21 07:54:40 [INFO]\t[TRAIN] Epoch=5/10, Step=150/1230, loss=0.641441, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:9\n",
      "2022-02-21 07:54:41 [INFO]\t[TRAIN] Epoch=5/10, Step=160/1230, loss=0.668871, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:9\n",
      "2022-02-21 07:54:41 [INFO]\t[TRAIN] Epoch=5/10, Step=170/1230, loss=0.685458, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:7\n",
      "2022-02-21 07:54:42 [INFO]\t[TRAIN] Epoch=5/10, Step=180/1230, loss=0.789744, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:7\n",
      "2022-02-21 07:54:42 [INFO]\t[TRAIN] Epoch=5/10, Step=190/1230, loss=0.729450, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:12\n",
      "2022-02-21 07:54:43 [INFO]\t[TRAIN] Epoch=5/10, Step=200/1230, loss=1.254045, acc1=0.718750, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:43 [INFO]\t[TRAIN] Epoch=5/10, Step=210/1230, loss=0.491714, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:44 [INFO]\t[TRAIN] Epoch=5/10, Step=220/1230, loss=0.654169, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:3\n",
      "2022-02-21 07:54:45 [INFO]\t[TRAIN] Epoch=5/10, Step=230/1230, loss=1.042604, acc1=0.718750, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:7:7\n",
      "2022-02-21 07:54:45 [INFO]\t[TRAIN] Epoch=5/10, Step=240/1230, loss=0.635128, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:46 [INFO]\t[TRAIN] Epoch=5/10, Step=250/1230, loss=0.565095, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:0\n",
      "2022-02-21 07:54:46 [INFO]\t[TRAIN] Epoch=5/10, Step=260/1230, loss=0.546664, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:7:0\n",
      "2022-02-21 07:54:47 [INFO]\t[TRAIN] Epoch=5/10, Step=270/1230, loss=1.071202, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:47 [INFO]\t[TRAIN] Epoch=5/10, Step=280/1230, loss=0.670107, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:7:2\n",
      "2022-02-21 07:54:48 [INFO]\t[TRAIN] Epoch=5/10, Step=290/1230, loss=0.706563, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:59\n",
      "2022-02-21 07:54:49 [INFO]\t[TRAIN] Epoch=5/10, Step=300/1230, loss=1.238310, acc1=0.687500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:56\n",
      "2022-02-21 07:54:49 [INFO]\t[TRAIN] Epoch=5/10, Step=310/1230, loss=0.819986, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:7:5\n",
      "2022-02-21 07:54:50 [INFO]\t[TRAIN] Epoch=5/10, Step=320/1230, loss=0.475806, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:7:5\n",
      "2022-02-21 07:54:50 [INFO]\t[TRAIN] Epoch=5/10, Step=330/1230, loss=0.987950, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:57\n",
      "2022-02-21 07:54:51 [INFO]\t[TRAIN] Epoch=5/10, Step=340/1230, loss=0.463440, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:55\n",
      "2022-02-21 07:54:51 [INFO]\t[TRAIN] Epoch=5/10, Step=350/1230, loss=0.701583, acc1=0.843750, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:49\n",
      "2022-02-21 07:54:52 [INFO]\t[TRAIN] Epoch=5/10, Step=360/1230, loss=0.820562, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:56\n",
      "2022-02-21 07:54:53 [INFO]\t[TRAIN] Epoch=5/10, Step=370/1230, loss=0.889567, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:50\n",
      "2022-02-21 07:54:53 [INFO]\t[TRAIN] Epoch=5/10, Step=380/1230, loss=0.862196, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:57\n",
      "2022-02-21 07:54:54 [INFO]\t[TRAIN] Epoch=5/10, Step=390/1230, loss=0.866091, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:52\n",
      "2022-02-21 07:54:54 [INFO]\t[TRAIN] Epoch=5/10, Step=400/1230, loss=0.623961, acc1=0.937500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:54\n",
      "2022-02-21 07:54:55 [INFO]\t[TRAIN] Epoch=5/10, Step=410/1230, loss=0.714713, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:57\n",
      "2022-02-21 07:54:55 [INFO]\t[TRAIN] Epoch=5/10, Step=420/1230, loss=0.875159, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:56\n",
      "2022-02-21 07:54:56 [INFO]\t[TRAIN] Epoch=5/10, Step=430/1230, loss=0.836516, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.07s, eta=0:8:35\n",
      "2022-02-21 07:54:57 [INFO]\t[TRAIN] Epoch=5/10, Step=440/1230, loss=0.466410, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:7:16\n",
      "2022-02-21 07:54:57 [INFO]\t[TRAIN] Epoch=5/10, Step=450/1230, loss=1.316424, acc1=0.750000, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:7:4\n",
      "2022-02-21 07:54:58 [INFO]\t[TRAIN] Epoch=5/10, Step=460/1230, loss=0.752539, acc1=0.718750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:53\n",
      "2022-02-21 07:54:58 [INFO]\t[TRAIN] Epoch=5/10, Step=470/1230, loss=0.510996, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:57\n",
      "2022-02-21 07:54:59 [INFO]\t[TRAIN] Epoch=5/10, Step=480/1230, loss=0.980857, acc1=0.687500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:49\n",
      "2022-02-21 07:55:00 [INFO]\t[TRAIN] Epoch=5/10, Step=490/1230, loss=1.263951, acc1=0.718750, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:6:50\n",
      "2022-02-21 07:55:00 [INFO]\t[TRAIN] Epoch=5/10, Step=500/1230, loss=0.828969, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:48\n",
      "2022-02-21 07:55:01 [INFO]\t[TRAIN] Epoch=5/10, Step=510/1230, loss=0.591878, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:49\n",
      "2022-02-21 07:55:01 [INFO]\t[TRAIN] Epoch=5/10, Step=520/1230, loss=1.096838, acc1=0.687500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:47\n",
      "2022-02-21 07:55:02 [INFO]\t[TRAIN] Epoch=5/10, Step=530/1230, loss=0.903131, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:46\n",
      "2022-02-21 07:55:02 [INFO]\t[TRAIN] Epoch=5/10, Step=540/1230, loss=0.415140, acc1=0.968750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:44\n",
      "2022-02-21 07:55:03 [INFO]\t[TRAIN] Epoch=5/10, Step=550/1230, loss=0.662477, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:44\n",
      "2022-02-21 07:55:04 [INFO]\t[TRAIN] Epoch=5/10, Step=560/1230, loss=1.163720, acc1=0.718750, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:6:48\n",
      "2022-02-21 07:55:04 [INFO]\t[TRAIN] Epoch=5/10, Step=570/1230, loss=0.200284, acc1=0.937500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:47\n",
      "2022-02-21 07:55:05 [INFO]\t[TRAIN] Epoch=5/10, Step=580/1230, loss=0.161379, acc1=1.000000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:52\n",
      "2022-02-21 07:55:05 [INFO]\t[TRAIN] Epoch=5/10, Step=590/1230, loss=0.573098, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:49\n",
      "2022-02-21 07:55:06 [INFO]\t[TRAIN] Epoch=5/10, Step=600/1230, loss=0.788655, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:46\n",
      "2022-02-21 07:55:06 [INFO]\t[TRAIN] Epoch=5/10, Step=610/1230, loss=0.921343, acc1=0.781250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:45\n",
      "2022-02-21 07:55:07 [INFO]\t[TRAIN] Epoch=5/10, Step=620/1230, loss=0.459291, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:38\n",
      "2022-02-21 07:55:08 [INFO]\t[TRAIN] Epoch=5/10, Step=630/1230, loss=0.525436, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:39\n",
      "2022-02-21 07:55:08 [INFO]\t[TRAIN] Epoch=5/10, Step=640/1230, loss=1.038743, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:50\n",
      "2022-02-21 07:55:09 [INFO]\t[TRAIN] Epoch=5/10, Step=650/1230, loss=0.642888, acc1=0.906250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:46\n",
      "2022-02-21 07:55:09 [INFO]\t[TRAIN] Epoch=5/10, Step=660/1230, loss=1.616596, acc1=0.687500, acc5=0.812500, lr=0.002500, time_each_step=0.06s, eta=0:6:49\n",
      "2022-02-21 07:55:10 [INFO]\t[TRAIN] Epoch=5/10, Step=670/1230, loss=0.662603, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:41\n",
      "2022-02-21 07:55:10 [INFO]\t[TRAIN] Epoch=5/10, Step=680/1230, loss=0.467845, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:41\n",
      "2022-02-21 07:55:11 [INFO]\t[TRAIN] Epoch=5/10, Step=690/1230, loss=1.075433, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:37\n",
      "2022-02-21 07:55:12 [INFO]\t[TRAIN] Epoch=5/10, Step=700/1230, loss=1.027834, acc1=0.750000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:42\n",
      "2022-02-21 07:55:12 [INFO]\t[TRAIN] Epoch=5/10, Step=710/1230, loss=0.711480, acc1=0.906250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:42\n",
      "2022-02-21 07:55:13 [INFO]\t[TRAIN] Epoch=5/10, Step=720/1230, loss=1.239386, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:32\n",
      "2022-02-21 07:55:13 [INFO]\t[TRAIN] Epoch=5/10, Step=730/1230, loss=0.861614, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:34\n",
      "2022-02-21 07:55:14 [INFO]\t[TRAIN] Epoch=5/10, Step=740/1230, loss=0.705627, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:35\n",
      "2022-02-21 07:55:14 [INFO]\t[TRAIN] Epoch=5/10, Step=750/1230, loss=0.594074, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:32\n",
      "2022-02-21 07:55:15 [INFO]\t[TRAIN] Epoch=5/10, Step=760/1230, loss=0.799502, acc1=0.750000, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:37\n",
      "2022-02-21 07:55:16 [INFO]\t[TRAIN] Epoch=5/10, Step=770/1230, loss=0.369835, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:29\n",
      "2022-02-21 07:55:16 [INFO]\t[TRAIN] Epoch=5/10, Step=780/1230, loss=0.815797, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:37\n",
      "2022-02-21 07:55:17 [INFO]\t[TRAIN] Epoch=5/10, Step=790/1230, loss=0.358532, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:35\n",
      "2022-02-21 07:55:17 [INFO]\t[TRAIN] Epoch=5/10, Step=800/1230, loss=0.397851, acc1=0.937500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:38\n",
      "2022-02-21 07:55:18 [INFO]\t[TRAIN] Epoch=5/10, Step=810/1230, loss=0.591150, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:32\n",
      "2022-02-21 07:55:18 [INFO]\t[TRAIN] Epoch=5/10, Step=820/1230, loss=0.574316, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:28\n",
      "2022-02-21 07:55:19 [INFO]\t[TRAIN] Epoch=5/10, Step=830/1230, loss=0.780948, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:30\n",
      "2022-02-21 07:55:20 [INFO]\t[TRAIN] Epoch=5/10, Step=840/1230, loss=1.022812, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:30\n",
      "2022-02-21 07:55:20 [INFO]\t[TRAIN] Epoch=5/10, Step=850/1230, loss=0.468731, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:27\n",
      "2022-02-21 07:55:21 [INFO]\t[TRAIN] Epoch=5/10, Step=860/1230, loss=0.623880, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:23\n",
      "2022-02-21 07:55:21 [INFO]\t[TRAIN] Epoch=5/10, Step=870/1230, loss=0.291332, acc1=0.937500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:25\n",
      "2022-02-21 07:55:22 [INFO]\t[TRAIN] Epoch=5/10, Step=880/1230, loss=0.631164, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:28\n",
      "2022-02-21 07:55:22 [INFO]\t[TRAIN] Epoch=5/10, Step=890/1230, loss=0.439435, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:28\n",
      "2022-02-21 07:55:23 [INFO]\t[TRAIN] Epoch=5/10, Step=900/1230, loss=0.429788, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:21\n",
      "2022-02-21 07:55:23 [INFO]\t[TRAIN] Epoch=5/10, Step=910/1230, loss=0.763056, acc1=0.843750, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:19\n",
      "2022-02-21 07:55:24 [INFO]\t[TRAIN] Epoch=5/10, Step=920/1230, loss=0.685060, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:23\n",
      "2022-02-21 07:55:25 [INFO]\t[TRAIN] Epoch=5/10, Step=930/1230, loss=0.825419, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:26\n",
      "2022-02-21 07:55:25 [INFO]\t[TRAIN] Epoch=5/10, Step=940/1230, loss=0.681541, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:25\n",
      "2022-02-21 07:55:26 [INFO]\t[TRAIN] Epoch=5/10, Step=950/1230, loss=0.653023, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:23\n",
      "2022-02-21 07:55:26 [INFO]\t[TRAIN] Epoch=5/10, Step=960/1230, loss=1.194855, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:18\n",
      "2022-02-21 07:55:27 [INFO]\t[TRAIN] Epoch=5/10, Step=970/1230, loss=0.720766, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:21\n",
      "2022-02-21 07:55:27 [INFO]\t[TRAIN] Epoch=5/10, Step=980/1230, loss=0.455067, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:18\n",
      "2022-02-21 07:55:28 [INFO]\t[TRAIN] Epoch=5/10, Step=990/1230, loss=0.496930, acc1=0.937500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:22\n",
      "2022-02-21 07:55:29 [INFO]\t[TRAIN] Epoch=5/10, Step=1000/1230, loss=1.149119, acc1=0.750000, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:18\n",
      "2022-02-21 07:55:29 [INFO]\t[TRAIN] Epoch=5/10, Step=1010/1230, loss=0.472512, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:15\n",
      "2022-02-21 07:55:30 [INFO]\t[TRAIN] Epoch=5/10, Step=1020/1230, loss=0.896235, acc1=0.718750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:19\n",
      "2022-02-21 07:55:30 [INFO]\t[TRAIN] Epoch=5/10, Step=1030/1230, loss=0.496087, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:21\n",
      "2022-02-21 07:55:31 [INFO]\t[TRAIN] Epoch=5/10, Step=1040/1230, loss=0.573737, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:19\n",
      "2022-02-21 07:55:31 [INFO]\t[TRAIN] Epoch=5/10, Step=1050/1230, loss=0.982650, acc1=0.781250, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:17\n",
      "2022-02-21 07:55:32 [INFO]\t[TRAIN] Epoch=5/10, Step=1060/1230, loss=0.832524, acc1=0.718750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:30\n",
      "2022-02-21 07:55:33 [INFO]\t[TRAIN] Epoch=5/10, Step=1070/1230, loss=0.641663, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:12\n",
      "2022-02-21 07:55:33 [INFO]\t[TRAIN] Epoch=5/10, Step=1080/1230, loss=0.829136, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:16\n",
      "2022-02-21 07:55:34 [INFO]\t[TRAIN] Epoch=5/10, Step=1090/1230, loss=0.552788, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:30\n",
      "2022-02-21 07:55:34 [INFO]\t[TRAIN] Epoch=5/10, Step=1100/1230, loss=0.758259, acc1=0.750000, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:6:23\n",
      "2022-02-21 07:55:35 [INFO]\t[TRAIN] Epoch=5/10, Step=1110/1230, loss=0.957145, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:26\n",
      "2022-02-21 07:55:35 [INFO]\t[TRAIN] Epoch=5/10, Step=1120/1230, loss=0.671353, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:30\n",
      "2022-02-21 07:55:36 [INFO]\t[TRAIN] Epoch=5/10, Step=1130/1230, loss=0.540274, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:24\n",
      "2022-02-21 07:55:37 [INFO]\t[TRAIN] Epoch=5/10, Step=1140/1230, loss=0.545390, acc1=0.875000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:25\n",
      "2022-02-21 07:55:37 [INFO]\t[TRAIN] Epoch=5/10, Step=1150/1230, loss=0.952195, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:31\n",
      "2022-02-21 07:55:38 [INFO]\t[TRAIN] Epoch=5/10, Step=1160/1230, loss=0.281543, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:28\n",
      "2022-02-21 07:55:38 [INFO]\t[TRAIN] Epoch=5/10, Step=1170/1230, loss=0.386996, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:27\n",
      "2022-02-21 07:55:39 [INFO]\t[TRAIN] Epoch=5/10, Step=1180/1230, loss=0.531531, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:31\n",
      "2022-02-21 07:55:40 [INFO]\t[TRAIN] Epoch=5/10, Step=1190/1230, loss=0.593326, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:24\n",
      "2022-02-21 07:55:40 [INFO]\t[TRAIN] Epoch=5/10, Step=1200/1230, loss=0.642047, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:16\n",
      "2022-02-21 07:55:41 [INFO]\t[TRAIN] Epoch=5/10, Step=1210/1230, loss=0.744447, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:26\n",
      "2022-02-21 07:55:41 [INFO]\t[TRAIN] Epoch=5/10, Step=1220/1230, loss=0.486121, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:14\n",
      "2022-02-21 07:55:42 [INFO]\t[TRAIN] Epoch=5/10, Step=1230/1230, loss=0.677728, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:9\n",
      "2022-02-21 07:55:42 [INFO]\t[TRAIN] Epoch 5 finished, loss=0.7380371, acc1=0.8131606, acc5=0.9306402 .\n",
      "2022-02-21 07:55:42 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:55:45 [INFO]\t[EVAL] Finished, Epoch=5, acc1=0.969453, acc5=0.999250 .\n",
      "2022-02-21 07:55:46 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:55:46 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_5, acc1=0.9694533348083496\n",
      "2022-02-21 07:55:46 [INFO]\tModel saved in output/mobilenetv3_small/epoch_5.\n",
      "2022-02-21 07:55:47 [INFO]\t[TRAIN] Epoch=6/10, Step=10/1230, loss=0.435349, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.09s, eta=0:9:1\n",
      "2022-02-21 07:55:48 [INFO]\t[TRAIN] Epoch=6/10, Step=20/1230, loss=0.523922, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:6\n",
      "2022-02-21 07:55:48 [INFO]\t[TRAIN] Epoch=6/10, Step=30/1230, loss=0.692604, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:11\n",
      "2022-02-21 07:55:49 [INFO]\t[TRAIN] Epoch=6/10, Step=40/1230, loss=0.394509, acc1=0.843750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:4\n",
      "2022-02-21 07:55:50 [INFO]\t[TRAIN] Epoch=6/10, Step=50/1230, loss=0.631482, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:6\n",
      "2022-02-21 07:55:50 [INFO]\t[TRAIN] Epoch=6/10, Step=60/1230, loss=0.630118, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:7\n",
      "2022-02-21 07:55:51 [INFO]\t[TRAIN] Epoch=6/10, Step=70/1230, loss=0.687107, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:1\n",
      "2022-02-21 07:55:51 [INFO]\t[TRAIN] Epoch=6/10, Step=80/1230, loss=0.448695, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:59\n",
      "2022-02-21 07:55:52 [INFO]\t[TRAIN] Epoch=6/10, Step=90/1230, loss=0.708607, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:16\n",
      "2022-02-21 07:55:52 [INFO]\t[TRAIN] Epoch=6/10, Step=100/1230, loss=0.202758, acc1=0.968750, acc5=1.000000, lr=0.002500, time_each_step=0.05s, eta=0:5:46\n",
      "2022-02-21 07:55:53 [INFO]\t[TRAIN] Epoch=6/10, Step=110/1230, loss=0.192481, acc1=0.937500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:6\n",
      "2022-02-21 07:55:54 [INFO]\t[TRAIN] Epoch=6/10, Step=120/1230, loss=0.546666, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:6:1\n",
      "2022-02-21 07:55:54 [INFO]\t[TRAIN] Epoch=6/10, Step=130/1230, loss=0.830484, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:6:1\n",
      "2022-02-21 07:55:55 [INFO]\t[TRAIN] Epoch=6/10, Step=140/1230, loss=0.702475, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:57\n",
      "2022-02-21 07:55:55 [INFO]\t[TRAIN] Epoch=6/10, Step=150/1230, loss=0.550710, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:58\n",
      "2022-02-21 07:55:56 [INFO]\t[TRAIN] Epoch=6/10, Step=160/1230, loss=0.584146, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:53\n",
      "2022-02-21 07:55:56 [INFO]\t[TRAIN] Epoch=6/10, Step=170/1230, loss=0.613201, acc1=0.781250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:53\n",
      "2022-02-21 07:55:57 [INFO]\t[TRAIN] Epoch=6/10, Step=180/1230, loss=0.208076, acc1=0.968750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:56\n",
      "2022-02-21 07:55:58 [INFO]\t[TRAIN] Epoch=6/10, Step=190/1230, loss=0.554211, acc1=0.750000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:2\n",
      "2022-02-21 07:55:58 [INFO]\t[TRAIN] Epoch=6/10, Step=200/1230, loss=0.774015, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.07s, eta=0:7:29\n",
      "2022-02-21 07:55:59 [INFO]\t[TRAIN] Epoch=6/10, Step=210/1230, loss=0.329435, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:3\n",
      "2022-02-21 07:56:00 [INFO]\t[TRAIN] Epoch=6/10, Step=220/1230, loss=0.610372, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:54\n",
      "2022-02-21 07:56:00 [INFO]\t[TRAIN] Epoch=6/10, Step=230/1230, loss=0.583903, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:55\n",
      "2022-02-21 07:56:01 [INFO]\t[TRAIN] Epoch=6/10, Step=240/1230, loss=0.586101, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:55\n",
      "2022-02-21 07:56:01 [INFO]\t[TRAIN] Epoch=6/10, Step=250/1230, loss=0.755625, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:54\n",
      "2022-02-21 07:56:02 [INFO]\t[TRAIN] Epoch=6/10, Step=260/1230, loss=0.989623, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:5:54\n",
      "2022-02-21 07:56:02 [INFO]\t[TRAIN] Epoch=6/10, Step=270/1230, loss=0.524478, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:51\n",
      "2022-02-21 07:56:03 [INFO]\t[TRAIN] Epoch=6/10, Step=280/1230, loss=0.735274, acc1=0.750000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:53\n",
      "2022-02-21 07:56:04 [INFO]\t[TRAIN] Epoch=6/10, Step=290/1230, loss=1.497751, acc1=0.718750, acc5=0.781250, lr=0.002500, time_each_step=0.06s, eta=0:5:51\n",
      "2022-02-21 07:56:04 [INFO]\t[TRAIN] Epoch=6/10, Step=300/1230, loss=0.937791, acc1=0.843750, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:5:50\n",
      "2022-02-21 07:56:05 [INFO]\t[TRAIN] Epoch=6/10, Step=310/1230, loss=0.476496, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:51\n",
      "2022-02-21 07:56:05 [INFO]\t[TRAIN] Epoch=6/10, Step=320/1230, loss=1.059554, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:49\n",
      "2022-02-21 07:56:06 [INFO]\t[TRAIN] Epoch=6/10, Step=330/1230, loss=0.533236, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:50\n",
      "2022-02-21 07:56:06 [INFO]\t[TRAIN] Epoch=6/10, Step=340/1230, loss=0.401577, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:46\n",
      "2022-02-21 07:56:07 [INFO]\t[TRAIN] Epoch=6/10, Step=350/1230, loss=1.054108, acc1=0.812500, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:5:48\n",
      "2022-02-21 07:56:08 [INFO]\t[TRAIN] Epoch=6/10, Step=360/1230, loss=0.225537, acc1=0.968750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:48\n",
      "2022-02-21 07:56:08 [INFO]\t[TRAIN] Epoch=6/10, Step=370/1230, loss=0.982147, acc1=0.718750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:47\n",
      "2022-02-21 07:56:09 [INFO]\t[TRAIN] Epoch=6/10, Step=380/1230, loss=0.407010, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:47\n",
      "2022-02-21 07:56:09 [INFO]\t[TRAIN] Epoch=6/10, Step=390/1230, loss=1.060284, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:44\n",
      "2022-02-21 07:56:10 [INFO]\t[TRAIN] Epoch=6/10, Step=400/1230, loss=0.562966, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:43\n",
      "2022-02-21 07:56:10 [INFO]\t[TRAIN] Epoch=6/10, Step=410/1230, loss=0.789183, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:47\n",
      "2022-02-21 07:56:11 [INFO]\t[TRAIN] Epoch=6/10, Step=420/1230, loss=0.519115, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:49\n",
      "2022-02-21 07:56:12 [INFO]\t[TRAIN] Epoch=6/10, Step=430/1230, loss=0.448527, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:51\n",
      "2022-02-21 07:56:12 [INFO]\t[TRAIN] Epoch=6/10, Step=440/1230, loss=0.217034, acc1=0.968750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:42\n",
      "2022-02-21 07:56:13 [INFO]\t[TRAIN] Epoch=6/10, Step=450/1230, loss=0.205303, acc1=0.906250, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:6:7\n",
      "2022-02-21 07:56:13 [INFO]\t[TRAIN] Epoch=6/10, Step=460/1230, loss=0.763005, acc1=0.750000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:37\n",
      "2022-02-21 07:56:14 [INFO]\t[TRAIN] Epoch=6/10, Step=470/1230, loss=0.533835, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:38\n",
      "2022-02-21 07:56:15 [INFO]\t[TRAIN] Epoch=6/10, Step=480/1230, loss=0.207324, acc1=0.968750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:37\n",
      "2022-02-21 07:56:15 [INFO]\t[TRAIN] Epoch=6/10, Step=490/1230, loss=0.638614, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:36\n",
      "2022-02-21 07:56:16 [INFO]\t[TRAIN] Epoch=6/10, Step=500/1230, loss=0.681695, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:29\n",
      "2022-02-21 07:56:16 [INFO]\t[TRAIN] Epoch=6/10, Step=510/1230, loss=0.273916, acc1=0.906250, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:35\n",
      "2022-02-21 07:56:17 [INFO]\t[TRAIN] Epoch=6/10, Step=520/1230, loss=1.228827, acc1=0.781250, acc5=0.812500, lr=0.002500, time_each_step=0.06s, eta=0:5:31\n",
      "2022-02-21 07:56:17 [INFO]\t[TRAIN] Epoch=6/10, Step=530/1230, loss=0.933277, acc1=0.750000, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:5:31\n",
      "2022-02-21 07:56:18 [INFO]\t[TRAIN] Epoch=6/10, Step=540/1230, loss=0.958469, acc1=0.718750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:38\n",
      "2022-02-21 07:56:19 [INFO]\t[TRAIN] Epoch=6/10, Step=550/1230, loss=0.627240, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:38\n",
      "2022-02-21 07:56:19 [INFO]\t[TRAIN] Epoch=6/10, Step=560/1230, loss=0.640380, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:35\n",
      "2022-02-21 07:56:20 [INFO]\t[TRAIN] Epoch=6/10, Step=570/1230, loss=0.549499, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:34\n",
      "2022-02-21 07:56:20 [INFO]\t[TRAIN] Epoch=6/10, Step=580/1230, loss=0.911870, acc1=0.750000, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:5:42\n",
      "2022-02-21 07:56:21 [INFO]\t[TRAIN] Epoch=6/10, Step=590/1230, loss=0.793810, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:37\n",
      "2022-02-21 07:56:21 [INFO]\t[TRAIN] Epoch=6/10, Step=600/1230, loss=0.620411, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:34\n",
      "2022-02-21 07:56:22 [INFO]\t[TRAIN] Epoch=6/10, Step=610/1230, loss=0.642371, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:41\n",
      "2022-02-21 07:56:23 [INFO]\t[TRAIN] Epoch=6/10, Step=620/1230, loss=0.521281, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:6:3\n",
      "2022-02-21 07:56:23 [INFO]\t[TRAIN] Epoch=6/10, Step=630/1230, loss=1.295146, acc1=0.718750, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:5:30\n",
      "2022-02-21 07:56:24 [INFO]\t[TRAIN] Epoch=6/10, Step=640/1230, loss=0.515999, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:33\n",
      "2022-02-21 07:56:24 [INFO]\t[TRAIN] Epoch=6/10, Step=650/1230, loss=0.619166, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:32\n",
      "2022-02-21 07:56:25 [INFO]\t[TRAIN] Epoch=6/10, Step=660/1230, loss=0.686615, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:27\n",
      "2022-02-21 07:56:25 [INFO]\t[TRAIN] Epoch=6/10, Step=670/1230, loss=0.851645, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:28\n",
      "2022-02-21 07:56:26 [INFO]\t[TRAIN] Epoch=6/10, Step=680/1230, loss=0.802810, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:30\n",
      "2022-02-21 07:56:27 [INFO]\t[TRAIN] Epoch=6/10, Step=690/1230, loss=0.727553, acc1=0.781250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:28\n",
      "2022-02-21 07:56:27 [INFO]\t[TRAIN] Epoch=6/10, Step=700/1230, loss=0.665375, acc1=0.875000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:28\n",
      "2022-02-21 07:56:28 [INFO]\t[TRAIN] Epoch=6/10, Step=710/1230, loss=0.383555, acc1=0.875000, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:29\n",
      "2022-02-21 07:56:28 [INFO]\t[TRAIN] Epoch=6/10, Step=720/1230, loss=0.521655, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:31\n",
      "2022-02-21 07:56:29 [INFO]\t[TRAIN] Epoch=6/10, Step=730/1230, loss=0.455883, acc1=0.812500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:28\n",
      "2022-02-21 07:56:30 [INFO]\t[TRAIN] Epoch=6/10, Step=740/1230, loss=0.872283, acc1=0.750000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:23\n",
      "2022-02-21 07:56:30 [INFO]\t[TRAIN] Epoch=6/10, Step=750/1230, loss=1.153742, acc1=0.687500, acc5=0.843750, lr=0.002500, time_each_step=0.06s, eta=0:5:27\n",
      "2022-02-21 07:56:31 [INFO]\t[TRAIN] Epoch=6/10, Step=760/1230, loss=0.360339, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:25\n",
      "2022-02-21 07:56:31 [INFO]\t[TRAIN] Epoch=6/10, Step=770/1230, loss=0.722244, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:27\n",
      "2022-02-21 07:56:32 [INFO]\t[TRAIN] Epoch=6/10, Step=780/1230, loss=0.676705, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:26\n",
      "2022-02-21 07:56:32 [INFO]\t[TRAIN] Epoch=6/10, Step=790/1230, loss=0.851190, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:21\n",
      "2022-02-21 07:56:33 [INFO]\t[TRAIN] Epoch=6/10, Step=800/1230, loss=0.622004, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:26\n",
      "2022-02-21 07:56:34 [INFO]\t[TRAIN] Epoch=6/10, Step=810/1230, loss=0.666455, acc1=0.875000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:20\n",
      "2022-02-21 07:56:34 [INFO]\t[TRAIN] Epoch=6/10, Step=820/1230, loss=0.905044, acc1=0.781250, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:5:20\n",
      "2022-02-21 07:56:35 [INFO]\t[TRAIN] Epoch=6/10, Step=830/1230, loss=0.416146, acc1=0.906250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:22\n",
      "2022-02-21 07:56:35 [INFO]\t[TRAIN] Epoch=6/10, Step=840/1230, loss=0.894544, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:20\n",
      "2022-02-21 07:56:36 [INFO]\t[TRAIN] Epoch=6/10, Step=850/1230, loss=0.596824, acc1=0.781250, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:22\n",
      "2022-02-21 07:56:36 [INFO]\t[TRAIN] Epoch=6/10, Step=860/1230, loss=0.916484, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:37 [INFO]\t[TRAIN] Epoch=6/10, Step=870/1230, loss=0.468729, acc1=0.843750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:19\n",
      "2022-02-21 07:56:38 [INFO]\t[TRAIN] Epoch=6/10, Step=880/1230, loss=0.605899, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:17\n",
      "2022-02-21 07:56:38 [INFO]\t[TRAIN] Epoch=6/10, Step=890/1230, loss=0.398054, acc1=0.843750, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:19\n",
      "2022-02-21 07:56:39 [INFO]\t[TRAIN] Epoch=6/10, Step=900/1230, loss=0.672721, acc1=0.906250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:15\n",
      "2022-02-21 07:56:39 [INFO]\t[TRAIN] Epoch=6/10, Step=910/1230, loss=0.539843, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:40 [INFO]\t[TRAIN] Epoch=6/10, Step=920/1230, loss=0.655145, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:41 [INFO]\t[TRAIN] Epoch=6/10, Step=930/1230, loss=0.591901, acc1=0.843750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:41 [INFO]\t[TRAIN] Epoch=6/10, Step=940/1230, loss=0.550253, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:22\n",
      "2022-02-21 07:56:42 [INFO]\t[TRAIN] Epoch=6/10, Step=950/1230, loss=0.646010, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:22\n",
      "2022-02-21 07:56:42 [INFO]\t[TRAIN] Epoch=6/10, Step=960/1230, loss=0.740625, acc1=0.750000, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:21\n",
      "2022-02-21 07:56:43 [INFO]\t[TRAIN] Epoch=6/10, Step=970/1230, loss=0.771191, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:20\n",
      "2022-02-21 07:56:43 [INFO]\t[TRAIN] Epoch=6/10, Step=980/1230, loss=0.489071, acc1=0.843750, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:44 [INFO]\t[TRAIN] Epoch=6/10, Step=990/1230, loss=0.502321, acc1=0.812500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:16\n",
      "2022-02-21 07:56:45 [INFO]\t[TRAIN] Epoch=6/10, Step=1000/1230, loss=0.758709, acc1=0.781250, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:19\n",
      "2022-02-21 07:56:45 [INFO]\t[TRAIN] Epoch=6/10, Step=1010/1230, loss=0.955385, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:14\n",
      "2022-02-21 07:56:46 [INFO]\t[TRAIN] Epoch=6/10, Step=1020/1230, loss=0.585374, acc1=0.937500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:18\n",
      "2022-02-21 07:56:46 [INFO]\t[TRAIN] Epoch=6/10, Step=1030/1230, loss=0.591257, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:13\n",
      "2022-02-21 07:56:47 [INFO]\t[TRAIN] Epoch=6/10, Step=1040/1230, loss=0.404394, acc1=0.812500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:11\n",
      "2022-02-21 07:56:48 [INFO]\t[TRAIN] Epoch=6/10, Step=1050/1230, loss=0.389429, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:7\n",
      "2022-02-21 07:56:48 [INFO]\t[TRAIN] Epoch=6/10, Step=1060/1230, loss=0.187758, acc1=0.937500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:16\n",
      "2022-02-21 07:56:49 [INFO]\t[TRAIN] Epoch=6/10, Step=1070/1230, loss=1.061831, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:7\n",
      "2022-02-21 07:56:49 [INFO]\t[TRAIN] Epoch=6/10, Step=1080/1230, loss=0.803016, acc1=0.781250, acc5=0.875000, lr=0.002500, time_each_step=0.06s, eta=0:5:9\n",
      "2022-02-21 07:56:50 [INFO]\t[TRAIN] Epoch=6/10, Step=1090/1230, loss=1.153435, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:5\n",
      "2022-02-21 07:56:50 [INFO]\t[TRAIN] Epoch=6/10, Step=1100/1230, loss=0.841324, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:3\n",
      "2022-02-21 07:56:51 [INFO]\t[TRAIN] Epoch=6/10, Step=1110/1230, loss=0.583729, acc1=0.875000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:6\n",
      "2022-02-21 07:56:52 [INFO]\t[TRAIN] Epoch=6/10, Step=1120/1230, loss=1.038512, acc1=0.718750, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:4\n",
      "2022-02-21 07:56:52 [INFO]\t[TRAIN] Epoch=6/10, Step=1130/1230, loss=0.781453, acc1=0.812500, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:6\n",
      "2022-02-21 07:56:53 [INFO]\t[TRAIN] Epoch=6/10, Step=1140/1230, loss=0.572400, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:2\n",
      "2022-02-21 07:56:53 [INFO]\t[TRAIN] Epoch=6/10, Step=1150/1230, loss=0.611356, acc1=0.812500, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:3\n",
      "2022-02-21 07:56:54 [INFO]\t[TRAIN] Epoch=6/10, Step=1160/1230, loss=0.195871, acc1=0.937500, acc5=1.000000, lr=0.002500, time_each_step=0.06s, eta=0:5:1\n",
      "2022-02-21 07:56:54 [INFO]\t[TRAIN] Epoch=6/10, Step=1170/1230, loss=0.741741, acc1=0.812500, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:3\n",
      "2022-02-21 07:56:55 [INFO]\t[TRAIN] Epoch=6/10, Step=1180/1230, loss=0.798778, acc1=0.781250, acc5=0.937500, lr=0.002500, time_each_step=0.06s, eta=0:5:1\n",
      "2022-02-21 07:56:56 [INFO]\t[TRAIN] Epoch=6/10, Step=1190/1230, loss=0.568388, acc1=0.843750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:7\n",
      "2022-02-21 07:56:56 [INFO]\t[TRAIN] Epoch=6/10, Step=1200/1230, loss=0.598140, acc1=0.750000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:9\n",
      "2022-02-21 07:56:57 [INFO]\t[TRAIN] Epoch=6/10, Step=1210/1230, loss=0.477248, acc1=0.875000, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:6\n",
      "2022-02-21 07:56:57 [INFO]\t[TRAIN] Epoch=6/10, Step=1220/1230, loss=0.713917, acc1=0.875000, acc5=0.906250, lr=0.002500, time_each_step=0.06s, eta=0:5:5\n",
      "2022-02-21 07:56:58 [INFO]\t[TRAIN] Epoch=6/10, Step=1230/1230, loss=0.238987, acc1=0.968750, acc5=0.968750, lr=0.002500, time_each_step=0.06s, eta=0:5:2\n",
      "2022-02-21 07:56:58 [INFO]\t[TRAIN] Epoch 6 finished, loss=0.6265617, acc1=0.83793193, acc5=0.9426829 .\n",
      "2022-02-21 07:56:58 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:57:01 [INFO]\t[EVAL] Finished, Epoch=6, acc1=0.971634, acc5=0.999250 .\n",
      "2022-02-21 07:57:02 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:57:02 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_6, acc1=0.9716335535049438\n",
      "2022-02-21 07:57:02 [INFO]\tModel saved in output/mobilenetv3_small/epoch_6.\n",
      "2022-02-21 07:57:03 [INFO]\t[TRAIN] Epoch=7/10, Step=10/1230, loss=0.348112, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.09s, eta=0:7:18\n",
      "2022-02-21 07:57:04 [INFO]\t[TRAIN] Epoch=7/10, Step=20/1230, loss=0.576245, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:57\n",
      "2022-02-21 07:57:05 [INFO]\t[TRAIN] Epoch=7/10, Step=30/1230, loss=0.568826, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:57\n",
      "2022-02-21 07:57:05 [INFO]\t[TRAIN] Epoch=7/10, Step=40/1230, loss=0.430441, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:56\n",
      "2022-02-21 07:57:06 [INFO]\t[TRAIN] Epoch=7/10, Step=50/1230, loss=0.555308, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:57\n",
      "2022-02-21 07:57:06 [INFO]\t[TRAIN] Epoch=7/10, Step=60/1230, loss=0.553891, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:56\n",
      "2022-02-21 07:57:07 [INFO]\t[TRAIN] Epoch=7/10, Step=70/1230, loss=0.856789, acc1=0.812500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:56\n",
      "2022-02-21 07:57:07 [INFO]\t[TRAIN] Epoch=7/10, Step=80/1230, loss=0.386028, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:51\n",
      "2022-02-21 07:57:08 [INFO]\t[TRAIN] Epoch=7/10, Step=90/1230, loss=1.169653, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:49\n",
      "2022-02-21 07:57:09 [INFO]\t[TRAIN] Epoch=7/10, Step=100/1230, loss=0.770962, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:52\n",
      "2022-02-21 07:57:09 [INFO]\t[TRAIN] Epoch=7/10, Step=110/1230, loss=0.456600, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:48\n",
      "2022-02-21 07:57:10 [INFO]\t[TRAIN] Epoch=7/10, Step=120/1230, loss=0.524088, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:49\n",
      "2022-02-21 07:57:10 [INFO]\t[TRAIN] Epoch=7/10, Step=130/1230, loss=0.493770, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:46\n",
      "2022-02-21 07:57:11 [INFO]\t[TRAIN] Epoch=7/10, Step=140/1230, loss=1.218630, acc1=0.750000, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:48\n",
      "2022-02-21 07:57:12 [INFO]\t[TRAIN] Epoch=7/10, Step=150/1230, loss=0.636402, acc1=0.875000, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:49\n",
      "2022-02-21 07:57:12 [INFO]\t[TRAIN] Epoch=7/10, Step=160/1230, loss=0.606521, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:50\n",
      "2022-02-21 07:57:13 [INFO]\t[TRAIN] Epoch=7/10, Step=170/1230, loss=0.960567, acc1=0.718750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:45\n",
      "2022-02-21 07:57:13 [INFO]\t[TRAIN] Epoch=7/10, Step=180/1230, loss=1.004993, acc1=0.812500, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:4:51\n",
      "2022-02-21 07:57:14 [INFO]\t[TRAIN] Epoch=7/10, Step=190/1230, loss=0.853423, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:46\n",
      "2022-02-21 07:57:14 [INFO]\t[TRAIN] Epoch=7/10, Step=200/1230, loss=0.249731, acc1=0.937500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:48\n",
      "2022-02-21 07:57:15 [INFO]\t[TRAIN] Epoch=7/10, Step=210/1230, loss=0.720760, acc1=0.812500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:45\n",
      "2022-02-21 07:57:16 [INFO]\t[TRAIN] Epoch=7/10, Step=220/1230, loss=0.316822, acc1=0.937500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:39\n",
      "2022-02-21 07:57:16 [INFO]\t[TRAIN] Epoch=7/10, Step=230/1230, loss=0.508615, acc1=0.875000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:42\n",
      "2022-02-21 07:57:17 [INFO]\t[TRAIN] Epoch=7/10, Step=240/1230, loss=0.543712, acc1=0.875000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:39\n",
      "2022-02-21 07:57:17 [INFO]\t[TRAIN] Epoch=7/10, Step=250/1230, loss=1.124263, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:43\n",
      "2022-02-21 07:57:18 [INFO]\t[TRAIN] Epoch=7/10, Step=260/1230, loss=0.517046, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:41\n",
      "2022-02-21 07:57:19 [INFO]\t[TRAIN] Epoch=7/10, Step=270/1230, loss=0.429129, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:40\n",
      "2022-02-21 07:57:19 [INFO]\t[TRAIN] Epoch=7/10, Step=280/1230, loss=0.741523, acc1=0.812500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:43\n",
      "2022-02-21 07:57:20 [INFO]\t[TRAIN] Epoch=7/10, Step=290/1230, loss=1.172875, acc1=0.750000, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:4:40\n",
      "2022-02-21 07:57:20 [INFO]\t[TRAIN] Epoch=7/10, Step=300/1230, loss=0.923931, acc1=0.718750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:41\n",
      "2022-02-21 07:57:21 [INFO]\t[TRAIN] Epoch=7/10, Step=310/1230, loss=0.507869, acc1=0.937500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:41\n",
      "2022-02-21 07:57:21 [INFO]\t[TRAIN] Epoch=7/10, Step=320/1230, loss=0.437491, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:39\n",
      "2022-02-21 07:57:22 [INFO]\t[TRAIN] Epoch=7/10, Step=330/1230, loss=0.505989, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:39\n",
      "2022-02-21 07:57:23 [INFO]\t[TRAIN] Epoch=7/10, Step=340/1230, loss=0.840380, acc1=0.718750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:50\n",
      "2022-02-21 07:57:23 [INFO]\t[TRAIN] Epoch=7/10, Step=350/1230, loss=0.420435, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.05s, eta=0:4:17\n",
      "2022-02-21 07:57:24 [INFO]\t[TRAIN] Epoch=7/10, Step=360/1230, loss=0.673973, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:35\n",
      "2022-02-21 07:57:24 [INFO]\t[TRAIN] Epoch=7/10, Step=370/1230, loss=1.186067, acc1=0.687500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:36\n",
      "2022-02-21 07:57:25 [INFO]\t[TRAIN] Epoch=7/10, Step=380/1230, loss=0.540225, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:35\n",
      "2022-02-21 07:57:25 [INFO]\t[TRAIN] Epoch=7/10, Step=390/1230, loss=0.261737, acc1=0.968750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:32\n",
      "2022-02-21 07:57:26 [INFO]\t[TRAIN] Epoch=7/10, Step=400/1230, loss=0.409285, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:33\n",
      "2022-02-21 07:57:27 [INFO]\t[TRAIN] Epoch=7/10, Step=410/1230, loss=0.481966, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:31\n",
      "2022-02-21 07:57:27 [INFO]\t[TRAIN] Epoch=7/10, Step=420/1230, loss=0.538804, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:33\n",
      "2022-02-21 07:57:28 [INFO]\t[TRAIN] Epoch=7/10, Step=430/1230, loss=0.874630, acc1=0.781250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:31\n",
      "2022-02-21 07:57:28 [INFO]\t[TRAIN] Epoch=7/10, Step=440/1230, loss=0.629278, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:28\n",
      "2022-02-21 07:57:29 [INFO]\t[TRAIN] Epoch=7/10, Step=450/1230, loss=1.131360, acc1=0.750000, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:31\n",
      "2022-02-21 07:57:30 [INFO]\t[TRAIN] Epoch=7/10, Step=460/1230, loss=0.557346, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:27\n",
      "2022-02-21 07:57:30 [INFO]\t[TRAIN] Epoch=7/10, Step=470/1230, loss=0.448521, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:30\n",
      "2022-02-21 07:57:31 [INFO]\t[TRAIN] Epoch=7/10, Step=480/1230, loss=0.583586, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:27\n",
      "2022-02-21 07:57:31 [INFO]\t[TRAIN] Epoch=7/10, Step=490/1230, loss=0.477100, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:30\n",
      "2022-02-21 07:57:32 [INFO]\t[TRAIN] Epoch=7/10, Step=500/1230, loss=0.535120, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:29\n",
      "2022-02-21 07:57:32 [INFO]\t[TRAIN] Epoch=7/10, Step=510/1230, loss=0.505535, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:27\n",
      "2022-02-21 07:57:33 [INFO]\t[TRAIN] Epoch=7/10, Step=520/1230, loss=0.648110, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:27\n",
      "2022-02-21 07:57:34 [INFO]\t[TRAIN] Epoch=7/10, Step=530/1230, loss=0.710503, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:26\n",
      "2022-02-21 07:57:34 [INFO]\t[TRAIN] Epoch=7/10, Step=540/1230, loss=0.920175, acc1=0.718750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:26\n",
      "2022-02-21 07:57:35 [INFO]\t[TRAIN] Epoch=7/10, Step=550/1230, loss=0.361620, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:24\n",
      "2022-02-21 07:57:35 [INFO]\t[TRAIN] Epoch=7/10, Step=560/1230, loss=0.492022, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:24\n",
      "2022-02-21 07:57:36 [INFO]\t[TRAIN] Epoch=7/10, Step=570/1230, loss=0.687026, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:23\n",
      "2022-02-21 07:57:37 [INFO]\t[TRAIN] Epoch=7/10, Step=580/1230, loss=0.822007, acc1=0.843750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:4:20\n",
      "2022-02-21 07:57:37 [INFO]\t[TRAIN] Epoch=7/10, Step=590/1230, loss=0.517042, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:24\n",
      "2022-02-21 07:57:38 [INFO]\t[TRAIN] Epoch=7/10, Step=600/1230, loss=0.633845, acc1=0.781250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:20\n",
      "2022-02-21 07:57:38 [INFO]\t[TRAIN] Epoch=7/10, Step=610/1230, loss=0.873180, acc1=0.781250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:20\n",
      "2022-02-21 07:57:39 [INFO]\t[TRAIN] Epoch=7/10, Step=620/1230, loss=0.460611, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:22\n",
      "2022-02-21 07:57:39 [INFO]\t[TRAIN] Epoch=7/10, Step=630/1230, loss=0.671144, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:18\n",
      "2022-02-21 07:57:40 [INFO]\t[TRAIN] Epoch=7/10, Step=640/1230, loss=0.604350, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:20\n",
      "2022-02-21 07:57:41 [INFO]\t[TRAIN] Epoch=7/10, Step=650/1230, loss=0.474680, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:17\n",
      "2022-02-21 07:57:41 [INFO]\t[TRAIN] Epoch=7/10, Step=660/1230, loss=0.502628, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:18\n",
      "2022-02-21 07:57:42 [INFO]\t[TRAIN] Epoch=7/10, Step=670/1230, loss=0.320765, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:18\n",
      "2022-02-21 07:57:42 [INFO]\t[TRAIN] Epoch=7/10, Step=680/1230, loss=0.830733, acc1=0.781250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:16\n",
      "2022-02-21 07:57:43 [INFO]\t[TRAIN] Epoch=7/10, Step=690/1230, loss=0.925762, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:18\n",
      "2022-02-21 07:57:43 [INFO]\t[TRAIN] Epoch=7/10, Step=700/1230, loss=0.528618, acc1=0.812500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:15\n",
      "2022-02-21 07:57:44 [INFO]\t[TRAIN] Epoch=7/10, Step=710/1230, loss=0.475703, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:17\n",
      "2022-02-21 07:57:45 [INFO]\t[TRAIN] Epoch=7/10, Step=720/1230, loss=0.641619, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:15\n",
      "2022-02-21 07:57:45 [INFO]\t[TRAIN] Epoch=7/10, Step=730/1230, loss=0.450073, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:15\n",
      "2022-02-21 07:57:46 [INFO]\t[TRAIN] Epoch=7/10, Step=740/1230, loss=0.463336, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:13\n",
      "2022-02-21 07:57:46 [INFO]\t[TRAIN] Epoch=7/10, Step=750/1230, loss=0.483041, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:10\n",
      "2022-02-21 07:57:47 [INFO]\t[TRAIN] Epoch=7/10, Step=760/1230, loss=0.180977, acc1=0.937500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:13\n",
      "2022-02-21 07:57:48 [INFO]\t[TRAIN] Epoch=7/10, Step=770/1230, loss=0.380904, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:10\n",
      "2022-02-21 07:57:48 [INFO]\t[TRAIN] Epoch=7/10, Step=780/1230, loss=1.099972, acc1=0.781250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:12\n",
      "2022-02-21 07:57:49 [INFO]\t[TRAIN] Epoch=7/10, Step=790/1230, loss=0.344216, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:7\n",
      "2022-02-21 07:57:49 [INFO]\t[TRAIN] Epoch=7/10, Step=800/1230, loss=0.916355, acc1=0.718750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:12\n",
      "2022-02-21 07:57:50 [INFO]\t[TRAIN] Epoch=7/10, Step=810/1230, loss=0.549660, acc1=0.781250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:12\n",
      "2022-02-21 07:57:50 [INFO]\t[TRAIN] Epoch=7/10, Step=820/1230, loss=1.009971, acc1=0.781250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:6\n",
      "2022-02-21 07:57:51 [INFO]\t[TRAIN] Epoch=7/10, Step=830/1230, loss=0.345397, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:9\n",
      "2022-02-21 07:57:52 [INFO]\t[TRAIN] Epoch=7/10, Step=840/1230, loss=0.551856, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:7\n",
      "2022-02-21 07:57:52 [INFO]\t[TRAIN] Epoch=7/10, Step=850/1230, loss=0.819932, acc1=0.812500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:4:10\n",
      "2022-02-21 07:57:53 [INFO]\t[TRAIN] Epoch=7/10, Step=860/1230, loss=0.676151, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:5\n",
      "2022-02-21 07:57:53 [INFO]\t[TRAIN] Epoch=7/10, Step=870/1230, loss=0.501612, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:7\n",
      "2022-02-21 07:57:54 [INFO]\t[TRAIN] Epoch=7/10, Step=880/1230, loss=0.740903, acc1=0.750000, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:4:6\n",
      "2022-02-21 07:57:55 [INFO]\t[TRAIN] Epoch=7/10, Step=890/1230, loss=0.496364, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:6\n",
      "2022-02-21 07:57:55 [INFO]\t[TRAIN] Epoch=7/10, Step=900/1230, loss=0.888737, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:6\n",
      "2022-02-21 07:57:56 [INFO]\t[TRAIN] Epoch=7/10, Step=910/1230, loss=0.632979, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:1\n",
      "2022-02-21 07:57:56 [INFO]\t[TRAIN] Epoch=7/10, Step=920/1230, loss=0.205989, acc1=0.937500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:4:3\n",
      "2022-02-21 07:57:57 [INFO]\t[TRAIN] Epoch=7/10, Step=930/1230, loss=0.779920, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:3\n",
      "2022-02-21 07:57:57 [INFO]\t[TRAIN] Epoch=7/10, Step=940/1230, loss=0.470971, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:2\n",
      "2022-02-21 07:57:58 [INFO]\t[TRAIN] Epoch=7/10, Step=950/1230, loss=0.544549, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:2\n",
      "2022-02-21 07:57:59 [INFO]\t[TRAIN] Epoch=7/10, Step=960/1230, loss=0.281821, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:59\n",
      "2022-02-21 07:57:59 [INFO]\t[TRAIN] Epoch=7/10, Step=970/1230, loss=0.501463, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:58\n",
      "2022-02-21 07:58:00 [INFO]\t[TRAIN] Epoch=7/10, Step=980/1230, loss=0.502411, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:59\n",
      "2022-02-21 07:58:00 [INFO]\t[TRAIN] Epoch=7/10, Step=990/1230, loss=0.861391, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:4:0\n",
      "2022-02-21 07:58:01 [INFO]\t[TRAIN] Epoch=7/10, Step=1000/1230, loss=0.571819, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:4:1\n",
      "2022-02-21 07:58:01 [INFO]\t[TRAIN] Epoch=7/10, Step=1010/1230, loss=0.589524, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:58\n",
      "2022-02-21 07:58:02 [INFO]\t[TRAIN] Epoch=7/10, Step=1020/1230, loss=0.676067, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:59\n",
      "2022-02-21 07:58:03 [INFO]\t[TRAIN] Epoch=7/10, Step=1030/1230, loss=1.138284, acc1=0.718750, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:3:55\n",
      "2022-02-21 07:58:03 [INFO]\t[TRAIN] Epoch=7/10, Step=1040/1230, loss=0.669943, acc1=0.875000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:57\n",
      "2022-02-21 07:58:04 [INFO]\t[TRAIN] Epoch=7/10, Step=1050/1230, loss=0.404057, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:56\n",
      "2022-02-21 07:58:04 [INFO]\t[TRAIN] Epoch=7/10, Step=1060/1230, loss=0.649046, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:54\n",
      "2022-02-21 07:58:05 [INFO]\t[TRAIN] Epoch=7/10, Step=1070/1230, loss=0.418975, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:56\n",
      "2022-02-21 07:58:06 [INFO]\t[TRAIN] Epoch=7/10, Step=1080/1230, loss=0.832843, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:52\n",
      "2022-02-21 07:58:06 [INFO]\t[TRAIN] Epoch=7/10, Step=1090/1230, loss=0.713746, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:54\n",
      "2022-02-21 07:58:07 [INFO]\t[TRAIN] Epoch=7/10, Step=1100/1230, loss=0.426306, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:52\n",
      "2022-02-21 07:58:07 [INFO]\t[TRAIN] Epoch=7/10, Step=1110/1230, loss=0.774992, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:53\n",
      "2022-02-21 07:58:08 [INFO]\t[TRAIN] Epoch=7/10, Step=1120/1230, loss=0.424318, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:52\n",
      "2022-02-21 07:58:08 [INFO]\t[TRAIN] Epoch=7/10, Step=1130/1230, loss=1.003810, acc1=0.718750, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:3:48\n",
      "2022-02-21 07:58:09 [INFO]\t[TRAIN] Epoch=7/10, Step=1140/1230, loss=0.554537, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:49\n",
      "2022-02-21 07:58:10 [INFO]\t[TRAIN] Epoch=7/10, Step=1150/1230, loss=0.465961, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:48\n",
      "2022-02-21 07:58:10 [INFO]\t[TRAIN] Epoch=7/10, Step=1160/1230, loss=0.426384, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:49\n",
      "2022-02-21 07:58:11 [INFO]\t[TRAIN] Epoch=7/10, Step=1170/1230, loss=0.533793, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:47\n",
      "2022-02-21 07:58:11 [INFO]\t[TRAIN] Epoch=7/10, Step=1180/1230, loss=0.195869, acc1=0.968750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:50\n",
      "2022-02-21 07:58:12 [INFO]\t[TRAIN] Epoch=7/10, Step=1190/1230, loss=0.903523, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:49\n",
      "2022-02-21 07:58:13 [INFO]\t[TRAIN] Epoch=7/10, Step=1200/1230, loss=0.722108, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:45\n",
      "2022-02-21 07:58:13 [INFO]\t[TRAIN] Epoch=7/10, Step=1210/1230, loss=0.981058, acc1=0.843750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:47\n",
      "2022-02-21 07:58:14 [INFO]\t[TRAIN] Epoch=7/10, Step=1220/1230, loss=0.552526, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:46\n",
      "2022-02-21 07:58:14 [INFO]\t[TRAIN] Epoch=7/10, Step=1230/1230, loss=0.309446, acc1=0.968750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:45\n",
      "2022-02-21 07:58:14 [INFO]\t[TRAIN] Epoch 7 finished, loss=0.60244083, acc1=0.84641767, acc5=0.9450457 .\n",
      "2022-02-21 07:58:15 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:58:17 [INFO]\t[EVAL] Finished, Epoch=7, acc1=0.973087, acc5=0.999250 .\n",
      "2022-02-21 07:58:18 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:58:18 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_7, acc1=0.9730870723724365\n",
      "2022-02-21 07:58:19 [INFO]\tModel saved in output/mobilenetv3_small/epoch_7.\n",
      "2022-02-21 07:58:20 [INFO]\t[TRAIN] Epoch=8/10, Step=10/1230, loss=0.631387, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.09s, eta=0:5:33\n",
      "2022-02-21 07:58:20 [INFO]\t[TRAIN] Epoch=8/10, Step=20/1230, loss=0.205549, acc1=1.000000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:45\n",
      "2022-02-21 07:58:21 [INFO]\t[TRAIN] Epoch=8/10, Step=30/1230, loss=0.205102, acc1=1.000000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:50\n",
      "2022-02-21 07:58:21 [INFO]\t[TRAIN] Epoch=8/10, Step=40/1230, loss=0.632877, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:30\n",
      "2022-02-21 07:58:22 [INFO]\t[TRAIN] Epoch=8/10, Step=50/1230, loss=1.070981, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:42\n",
      "2022-02-21 07:58:23 [INFO]\t[TRAIN] Epoch=8/10, Step=60/1230, loss=0.936934, acc1=0.750000, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:45\n",
      "2022-02-21 07:58:23 [INFO]\t[TRAIN] Epoch=8/10, Step=70/1230, loss=0.256922, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:45\n",
      "2022-02-21 07:58:24 [INFO]\t[TRAIN] Epoch=8/10, Step=80/1230, loss=0.661314, acc1=0.750000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:38\n",
      "2022-02-21 07:58:24 [INFO]\t[TRAIN] Epoch=8/10, Step=90/1230, loss=0.831808, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:37\n",
      "2022-02-21 07:58:25 [INFO]\t[TRAIN] Epoch=8/10, Step=100/1230, loss=0.852400, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:37\n",
      "2022-02-21 07:58:26 [INFO]\t[TRAIN] Epoch=8/10, Step=110/1230, loss=0.559341, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:37\n",
      "2022-02-21 07:58:26 [INFO]\t[TRAIN] Epoch=8/10, Step=120/1230, loss=0.596499, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:34\n",
      "2022-02-21 07:58:27 [INFO]\t[TRAIN] Epoch=8/10, Step=130/1230, loss=0.698641, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:38\n",
      "2022-02-21 07:58:27 [INFO]\t[TRAIN] Epoch=8/10, Step=140/1230, loss=0.510019, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:35\n",
      "2022-02-21 07:58:28 [INFO]\t[TRAIN] Epoch=8/10, Step=150/1230, loss=1.750814, acc1=0.593750, acc5=0.812500, lr=0.000250, time_each_step=0.06s, eta=0:3:35\n",
      "2022-02-21 07:58:29 [INFO]\t[TRAIN] Epoch=8/10, Step=160/1230, loss=0.427663, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:36\n",
      "2022-02-21 07:58:29 [INFO]\t[TRAIN] Epoch=8/10, Step=170/1230, loss=0.436531, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:39\n",
      "2022-02-21 07:58:30 [INFO]\t[TRAIN] Epoch=8/10, Step=180/1230, loss=0.579449, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:31\n",
      "2022-02-21 07:58:30 [INFO]\t[TRAIN] Epoch=8/10, Step=190/1230, loss=0.558636, acc1=0.750000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:31\n",
      "2022-02-21 07:58:31 [INFO]\t[TRAIN] Epoch=8/10, Step=200/1230, loss=0.463887, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:35\n",
      "2022-02-21 07:58:31 [INFO]\t[TRAIN] Epoch=8/10, Step=210/1230, loss=0.452873, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:28\n",
      "2022-02-21 07:58:32 [INFO]\t[TRAIN] Epoch=8/10, Step=220/1230, loss=0.431390, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:31\n",
      "2022-02-21 07:58:33 [INFO]\t[TRAIN] Epoch=8/10, Step=230/1230, loss=0.164952, acc1=0.937500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:28\n",
      "2022-02-21 07:58:33 [INFO]\t[TRAIN] Epoch=8/10, Step=240/1230, loss=0.341376, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:32\n",
      "2022-02-21 07:58:34 [INFO]\t[TRAIN] Epoch=8/10, Step=250/1230, loss=1.252411, acc1=0.656250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:41\n",
      "2022-02-21 07:58:34 [INFO]\t[TRAIN] Epoch=8/10, Step=260/1230, loss=0.424677, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:24\n",
      "2022-02-21 07:58:35 [INFO]\t[TRAIN] Epoch=8/10, Step=270/1230, loss=0.427240, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:26\n",
      "2022-02-21 07:58:36 [INFO]\t[TRAIN] Epoch=8/10, Step=280/1230, loss=1.036878, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:25\n",
      "2022-02-21 07:58:36 [INFO]\t[TRAIN] Epoch=8/10, Step=290/1230, loss=0.743856, acc1=0.843750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:22\n",
      "2022-02-21 07:58:37 [INFO]\t[TRAIN] Epoch=8/10, Step=300/1230, loss=0.628654, acc1=0.875000, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:22\n",
      "2022-02-21 07:58:37 [INFO]\t[TRAIN] Epoch=8/10, Step=310/1230, loss=0.595752, acc1=0.906250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:21\n",
      "2022-02-21 07:58:38 [INFO]\t[TRAIN] Epoch=8/10, Step=320/1230, loss=0.973757, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:27\n",
      "2022-02-21 07:58:38 [INFO]\t[TRAIN] Epoch=8/10, Step=330/1230, loss=0.668868, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:21\n",
      "2022-02-21 07:58:39 [INFO]\t[TRAIN] Epoch=8/10, Step=340/1230, loss=0.946782, acc1=0.687500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:20\n",
      "2022-02-21 07:58:40 [INFO]\t[TRAIN] Epoch=8/10, Step=350/1230, loss=0.316944, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:21\n",
      "2022-02-21 07:58:40 [INFO]\t[TRAIN] Epoch=8/10, Step=360/1230, loss=0.668469, acc1=0.843750, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:3:19\n",
      "2022-02-21 07:58:41 [INFO]\t[TRAIN] Epoch=8/10, Step=370/1230, loss=0.667774, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:20\n",
      "2022-02-21 07:58:41 [INFO]\t[TRAIN] Epoch=8/10, Step=380/1230, loss=0.440885, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:18\n",
      "2022-02-21 07:58:42 [INFO]\t[TRAIN] Epoch=8/10, Step=390/1230, loss=0.815495, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:17\n",
      "2022-02-21 07:58:43 [INFO]\t[TRAIN] Epoch=8/10, Step=400/1230, loss=0.519836, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:16\n",
      "2022-02-21 07:58:43 [INFO]\t[TRAIN] Epoch=8/10, Step=410/1230, loss=0.635115, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:15\n",
      "2022-02-21 07:58:44 [INFO]\t[TRAIN] Epoch=8/10, Step=420/1230, loss=0.428648, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:16\n",
      "2022-02-21 07:58:44 [INFO]\t[TRAIN] Epoch=8/10, Step=430/1230, loss=0.716372, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:17\n",
      "2022-02-21 07:58:45 [INFO]\t[TRAIN] Epoch=8/10, Step=440/1230, loss=0.621452, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:13\n",
      "2022-02-21 07:58:45 [INFO]\t[TRAIN] Epoch=8/10, Step=450/1230, loss=0.456384, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:14\n",
      "2022-02-21 07:58:46 [INFO]\t[TRAIN] Epoch=8/10, Step=460/1230, loss=0.868170, acc1=0.718750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:13\n",
      "2022-02-21 07:58:47 [INFO]\t[TRAIN] Epoch=8/10, Step=470/1230, loss=0.519486, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:14\n",
      "2022-02-21 07:58:47 [INFO]\t[TRAIN] Epoch=8/10, Step=480/1230, loss=0.821840, acc1=0.750000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:12\n",
      "2022-02-21 07:58:48 [INFO]\t[TRAIN] Epoch=8/10, Step=490/1230, loss=1.122664, acc1=0.718750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:11\n",
      "2022-02-21 07:58:48 [INFO]\t[TRAIN] Epoch=8/10, Step=500/1230, loss=0.863862, acc1=0.781250, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:3:13\n",
      "2022-02-21 07:58:49 [INFO]\t[TRAIN] Epoch=8/10, Step=510/1230, loss=0.838038, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:13\n",
      "2022-02-21 07:58:49 [INFO]\t[TRAIN] Epoch=8/10, Step=520/1230, loss=1.177334, acc1=0.687500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:14\n",
      "2022-02-21 07:58:50 [INFO]\t[TRAIN] Epoch=8/10, Step=530/1230, loss=0.613916, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:14\n",
      "2022-02-21 07:58:51 [INFO]\t[TRAIN] Epoch=8/10, Step=540/1230, loss=0.288768, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:12\n",
      "2022-02-21 07:58:51 [INFO]\t[TRAIN] Epoch=8/10, Step=550/1230, loss=0.546254, acc1=0.750000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:9\n",
      "2022-02-21 07:58:52 [INFO]\t[TRAIN] Epoch=8/10, Step=560/1230, loss=0.744260, acc1=0.781250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:8\n",
      "2022-02-21 07:58:52 [INFO]\t[TRAIN] Epoch=8/10, Step=570/1230, loss=0.756054, acc1=0.750000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:8\n",
      "2022-02-21 07:58:53 [INFO]\t[TRAIN] Epoch=8/10, Step=580/1230, loss=0.468909, acc1=0.843750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:6\n",
      "2022-02-21 07:58:54 [INFO]\t[TRAIN] Epoch=8/10, Step=590/1230, loss=0.580038, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:9\n",
      "2022-02-21 07:58:54 [INFO]\t[TRAIN] Epoch=8/10, Step=600/1230, loss=0.456002, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:8\n",
      "2022-02-21 07:58:55 [INFO]\t[TRAIN] Epoch=8/10, Step=610/1230, loss=0.697464, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:3\n",
      "2022-02-21 07:58:55 [INFO]\t[TRAIN] Epoch=8/10, Step=620/1230, loss=0.656840, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:3\n",
      "2022-02-21 07:58:56 [INFO]\t[TRAIN] Epoch=8/10, Step=630/1230, loss=0.293527, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:7\n",
      "2022-02-21 07:58:56 [INFO]\t[TRAIN] Epoch=8/10, Step=640/1230, loss=0.823464, acc1=0.812500, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:1\n",
      "2022-02-21 07:58:57 [INFO]\t[TRAIN] Epoch=8/10, Step=650/1230, loss=0.898328, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:3\n",
      "2022-02-21 07:58:58 [INFO]\t[TRAIN] Epoch=8/10, Step=660/1230, loss=0.721667, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:4\n",
      "2022-02-21 07:58:58 [INFO]\t[TRAIN] Epoch=8/10, Step=670/1230, loss=0.264665, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:3:5\n",
      "2022-02-21 07:58:59 [INFO]\t[TRAIN] Epoch=8/10, Step=680/1230, loss=1.075377, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:3:1\n",
      "2022-02-21 07:58:59 [INFO]\t[TRAIN] Epoch=8/10, Step=690/1230, loss=0.577559, acc1=0.875000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:3:2\n",
      "2022-02-21 07:59:00 [INFO]\t[TRAIN] Epoch=8/10, Step=700/1230, loss=0.273267, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:3:0\n",
      "2022-02-21 07:59:01 [INFO]\t[TRAIN] Epoch=8/10, Step=710/1230, loss=0.599899, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:59\n",
      "2022-02-21 07:59:01 [INFO]\t[TRAIN] Epoch=8/10, Step=720/1230, loss=0.667644, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:0\n",
      "2022-02-21 07:59:02 [INFO]\t[TRAIN] Epoch=8/10, Step=730/1230, loss=0.556243, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:58\n",
      "2022-02-21 07:59:02 [INFO]\t[TRAIN] Epoch=8/10, Step=740/1230, loss=0.413097, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:59\n",
      "2022-02-21 07:59:03 [INFO]\t[TRAIN] Epoch=8/10, Step=750/1230, loss=0.282691, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:57\n",
      "2022-02-21 07:59:03 [INFO]\t[TRAIN] Epoch=8/10, Step=760/1230, loss=0.573872, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:57\n",
      "2022-02-21 07:59:04 [INFO]\t[TRAIN] Epoch=8/10, Step=770/1230, loss=0.343280, acc1=0.937500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:3:1\n",
      "2022-02-21 07:59:05 [INFO]\t[TRAIN] Epoch=8/10, Step=780/1230, loss=0.423644, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:59\n",
      "2022-02-21 07:59:05 [INFO]\t[TRAIN] Epoch=8/10, Step=790/1230, loss=0.672904, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:2:55\n",
      "2022-02-21 07:59:06 [INFO]\t[TRAIN] Epoch=8/10, Step=800/1230, loss=0.351438, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:57\n",
      "2022-02-21 07:59:06 [INFO]\t[TRAIN] Epoch=8/10, Step=810/1230, loss=0.407790, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:55\n",
      "2022-02-21 07:59:07 [INFO]\t[TRAIN] Epoch=8/10, Step=820/1230, loss=0.420863, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:56\n",
      "2022-02-21 07:59:08 [INFO]\t[TRAIN] Epoch=8/10, Step=830/1230, loss=0.346414, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:54\n",
      "2022-02-21 07:59:08 [INFO]\t[TRAIN] Epoch=8/10, Step=840/1230, loss=0.535553, acc1=0.812500, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:53\n",
      "2022-02-21 07:59:09 [INFO]\t[TRAIN] Epoch=8/10, Step=850/1230, loss=0.566660, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:53\n",
      "2022-02-21 07:59:09 [INFO]\t[TRAIN] Epoch=8/10, Step=860/1230, loss=0.532131, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:52\n",
      "2022-02-21 07:59:10 [INFO]\t[TRAIN] Epoch=8/10, Step=870/1230, loss=0.368899, acc1=0.843750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:52\n",
      "2022-02-21 07:59:10 [INFO]\t[TRAIN] Epoch=8/10, Step=880/1230, loss=0.821005, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:50\n",
      "2022-02-21 07:59:11 [INFO]\t[TRAIN] Epoch=8/10, Step=890/1230, loss=0.893770, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:2:52\n",
      "2022-02-21 07:59:12 [INFO]\t[TRAIN] Epoch=8/10, Step=900/1230, loss=0.355141, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:51\n",
      "2022-02-21 07:59:12 [INFO]\t[TRAIN] Epoch=8/10, Step=910/1230, loss=0.654178, acc1=0.843750, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:2:50\n",
      "2022-02-21 07:59:13 [INFO]\t[TRAIN] Epoch=8/10, Step=920/1230, loss=0.625257, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:50\n",
      "2022-02-21 07:59:13 [INFO]\t[TRAIN] Epoch=8/10, Step=930/1230, loss=0.708535, acc1=0.875000, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:2:51\n",
      "2022-02-21 07:59:14 [INFO]\t[TRAIN] Epoch=8/10, Step=940/1230, loss=0.701661, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:47\n",
      "2022-02-21 07:59:15 [INFO]\t[TRAIN] Epoch=8/10, Step=950/1230, loss=0.488287, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:48\n",
      "2022-02-21 07:59:15 [INFO]\t[TRAIN] Epoch=8/10, Step=960/1230, loss=0.521326, acc1=0.875000, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:48\n",
      "2022-02-21 07:59:16 [INFO]\t[TRAIN] Epoch=8/10, Step=970/1230, loss=0.307596, acc1=0.968750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:16 [INFO]\t[TRAIN] Epoch=8/10, Step=980/1230, loss=0.404256, acc1=0.937500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:47\n",
      "2022-02-21 07:59:17 [INFO]\t[TRAIN] Epoch=8/10, Step=990/1230, loss=0.430686, acc1=0.843750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:46\n",
      "2022-02-21 07:59:17 [INFO]\t[TRAIN] Epoch=8/10, Step=1000/1230, loss=0.499557, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:18 [INFO]\t[TRAIN] Epoch=8/10, Step=1010/1230, loss=0.607362, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:19 [INFO]\t[TRAIN] Epoch=8/10, Step=1020/1230, loss=0.571632, acc1=0.843750, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:19 [INFO]\t[TRAIN] Epoch=8/10, Step=1030/1230, loss=0.676046, acc1=0.843750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:20 [INFO]\t[TRAIN] Epoch=8/10, Step=1040/1230, loss=0.569619, acc1=0.781250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:45\n",
      "2022-02-21 07:59:20 [INFO]\t[TRAIN] Epoch=8/10, Step=1050/1230, loss=0.624228, acc1=0.843750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:2:42\n",
      "2022-02-21 07:59:21 [INFO]\t[TRAIN] Epoch=8/10, Step=1060/1230, loss=0.397700, acc1=0.906250, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:43\n",
      "2022-02-21 07:59:22 [INFO]\t[TRAIN] Epoch=8/10, Step=1070/1230, loss=1.438124, acc1=0.718750, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:2:38\n",
      "2022-02-21 07:59:22 [INFO]\t[TRAIN] Epoch=8/10, Step=1080/1230, loss=0.891138, acc1=0.812500, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:2:38\n",
      "2022-02-21 07:59:23 [INFO]\t[TRAIN] Epoch=8/10, Step=1090/1230, loss=0.405989, acc1=0.906250, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:38\n",
      "2022-02-21 07:59:23 [INFO]\t[TRAIN] Epoch=8/10, Step=1100/1230, loss=0.520861, acc1=0.875000, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:35\n",
      "2022-02-21 07:59:24 [INFO]\t[TRAIN] Epoch=8/10, Step=1110/1230, loss=0.541438, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:36\n",
      "2022-02-21 07:59:25 [INFO]\t[TRAIN] Epoch=8/10, Step=1120/1230, loss=0.936439, acc1=0.781250, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:2:36\n",
      "2022-02-21 07:59:25 [INFO]\t[TRAIN] Epoch=8/10, Step=1130/1230, loss=0.256919, acc1=0.906250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:38\n",
      "2022-02-21 07:59:26 [INFO]\t[TRAIN] Epoch=8/10, Step=1140/1230, loss=0.636697, acc1=0.781250, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:43\n",
      "2022-02-21 07:59:26 [INFO]\t[TRAIN] Epoch=8/10, Step=1150/1230, loss=0.675571, acc1=0.812500, acc5=0.937500, lr=0.000250, time_each_step=0.06s, eta=0:2:34\n",
      "2022-02-21 07:59:27 [INFO]\t[TRAIN] Epoch=8/10, Step=1160/1230, loss=0.956093, acc1=0.718750, acc5=0.875000, lr=0.000250, time_each_step=0.06s, eta=0:2:33\n",
      "2022-02-21 07:59:27 [INFO]\t[TRAIN] Epoch=8/10, Step=1170/1230, loss=0.216401, acc1=0.968750, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:31\n",
      "2022-02-21 07:59:28 [INFO]\t[TRAIN] Epoch=8/10, Step=1180/1230, loss=0.526152, acc1=0.812500, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:32\n",
      "2022-02-21 07:59:29 [INFO]\t[TRAIN] Epoch=8/10, Step=1190/1230, loss=1.073699, acc1=0.750000, acc5=0.843750, lr=0.000250, time_each_step=0.06s, eta=0:2:32\n",
      "2022-02-21 07:59:29 [INFO]\t[TRAIN] Epoch=8/10, Step=1200/1230, loss=0.578869, acc1=0.906250, acc5=0.906250, lr=0.000250, time_each_step=0.06s, eta=0:2:32\n",
      "2022-02-21 07:59:30 [INFO]\t[TRAIN] Epoch=8/10, Step=1210/1230, loss=0.303180, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:31\n",
      "2022-02-21 07:59:30 [INFO]\t[TRAIN] Epoch=8/10, Step=1220/1230, loss=0.399986, acc1=0.875000, acc5=1.000000, lr=0.000250, time_each_step=0.06s, eta=0:2:31\n",
      "2022-02-21 07:59:31 [INFO]\t[TRAIN] Epoch=8/10, Step=1230/1230, loss=0.410975, acc1=0.843750, acc5=0.968750, lr=0.000250, time_each_step=0.06s, eta=0:2:30\n",
      "2022-02-21 07:59:31 [INFO]\t[TRAIN] Epoch 8 finished, loss=0.58590645, acc1=0.8488059, acc5=0.94771343 .\n",
      "2022-02-21 07:59:31 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 07:59:34 [INFO]\t[EVAL] Finished, Epoch=8, acc1=0.974541, acc5=0.999250 .\n",
      "2022-02-21 07:59:35 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 07:59:35 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_8, acc1=0.9745405316352844\n",
      "2022-02-21 07:59:35 [INFO]\tModel saved in output/mobilenetv3_small/epoch_8.\n",
      "2022-02-21 07:59:36 [INFO]\t[TRAIN] Epoch=9/10, Step=10/1230, loss=0.536438, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.09s, eta=0:3:39\n",
      "2022-02-21 07:59:37 [INFO]\t[TRAIN] Epoch=9/10, Step=20/1230, loss=0.481345, acc1=0.843750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:29\n",
      "2022-02-21 07:59:38 [INFO]\t[TRAIN] Epoch=9/10, Step=30/1230, loss=0.178367, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:23\n",
      "2022-02-21 07:59:38 [INFO]\t[TRAIN] Epoch=9/10, Step=40/1230, loss=0.377590, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:23\n",
      "2022-02-21 07:59:39 [INFO]\t[TRAIN] Epoch=9/10, Step=50/1230, loss=0.778419, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:23\n",
      "2022-02-21 07:59:39 [INFO]\t[TRAIN] Epoch=9/10, Step=60/1230, loss=0.689433, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:23\n",
      "2022-02-21 07:59:40 [INFO]\t[TRAIN] Epoch=9/10, Step=70/1230, loss=0.561037, acc1=0.906250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:22\n",
      "2022-02-21 07:59:40 [INFO]\t[TRAIN] Epoch=9/10, Step=80/1230, loss=0.601428, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:20\n",
      "2022-02-21 07:59:41 [INFO]\t[TRAIN] Epoch=9/10, Step=90/1230, loss=0.772245, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:21\n",
      "2022-02-21 07:59:42 [INFO]\t[TRAIN] Epoch=9/10, Step=100/1230, loss=1.156680, acc1=0.781250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:18\n",
      "2022-02-21 07:59:42 [INFO]\t[TRAIN] Epoch=9/10, Step=110/1230, loss=0.702978, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:19\n",
      "2022-02-21 07:59:43 [INFO]\t[TRAIN] Epoch=9/10, Step=120/1230, loss=0.587816, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:26\n",
      "2022-02-21 07:59:43 [INFO]\t[TRAIN] Epoch=9/10, Step=130/1230, loss=0.362146, acc1=0.968750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:16\n",
      "2022-02-21 07:59:44 [INFO]\t[TRAIN] Epoch=9/10, Step=140/1230, loss=0.505157, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:19\n",
      "2022-02-21 07:59:44 [INFO]\t[TRAIN] Epoch=9/10, Step=150/1230, loss=0.728823, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:15\n",
      "2022-02-21 07:59:45 [INFO]\t[TRAIN] Epoch=9/10, Step=160/1230, loss=0.332007, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:16\n",
      "2022-02-21 07:59:46 [INFO]\t[TRAIN] Epoch=9/10, Step=170/1230, loss=0.398443, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:22\n",
      "2022-02-21 07:59:46 [INFO]\t[TRAIN] Epoch=9/10, Step=180/1230, loss=0.732361, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:14\n",
      "2022-02-21 07:59:47 [INFO]\t[TRAIN] Epoch=9/10, Step=190/1230, loss=0.623257, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:19\n",
      "2022-02-21 07:59:47 [INFO]\t[TRAIN] Epoch=9/10, Step=200/1230, loss=0.298143, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:14\n",
      "2022-02-21 07:59:48 [INFO]\t[TRAIN] Epoch=9/10, Step=210/1230, loss=0.183363, acc1=0.968750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:15\n",
      "2022-02-21 07:59:49 [INFO]\t[TRAIN] Epoch=9/10, Step=220/1230, loss=0.825414, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:13\n",
      "2022-02-21 07:59:49 [INFO]\t[TRAIN] Epoch=9/10, Step=230/1230, loss=0.609928, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:14\n",
      "2022-02-21 07:59:50 [INFO]\t[TRAIN] Epoch=9/10, Step=240/1230, loss=1.081943, acc1=0.781250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:12\n",
      "2022-02-21 07:59:50 [INFO]\t[TRAIN] Epoch=9/10, Step=250/1230, loss=0.719653, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:12\n",
      "2022-02-21 07:59:51 [INFO]\t[TRAIN] Epoch=9/10, Step=260/1230, loss=0.729760, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:12\n",
      "2022-02-21 07:59:51 [INFO]\t[TRAIN] Epoch=9/10, Step=270/1230, loss=0.707011, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:10\n",
      "2022-02-21 07:59:52 [INFO]\t[TRAIN] Epoch=9/10, Step=280/1230, loss=0.739005, acc1=0.812500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:10\n",
      "2022-02-21 07:59:53 [INFO]\t[TRAIN] Epoch=9/10, Step=290/1230, loss=1.110066, acc1=0.750000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:8\n",
      "2022-02-21 07:59:53 [INFO]\t[TRAIN] Epoch=9/10, Step=300/1230, loss=0.531431, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:10\n",
      "2022-02-21 07:59:54 [INFO]\t[TRAIN] Epoch=9/10, Step=310/1230, loss=0.627817, acc1=0.781250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:7\n",
      "2022-02-21 07:59:54 [INFO]\t[TRAIN] Epoch=9/10, Step=320/1230, loss=1.019550, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:2:8\n",
      "2022-02-21 07:59:55 [INFO]\t[TRAIN] Epoch=9/10, Step=330/1230, loss=0.791828, acc1=0.812500, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:2:6\n",
      "2022-02-21 07:59:56 [INFO]\t[TRAIN] Epoch=9/10, Step=340/1230, loss=0.520565, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:4\n",
      "2022-02-21 07:59:56 [INFO]\t[TRAIN] Epoch=9/10, Step=350/1230, loss=0.551040, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:6\n",
      "2022-02-21 07:59:57 [INFO]\t[TRAIN] Epoch=9/10, Step=360/1230, loss=0.440284, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:6\n",
      "2022-02-21 07:59:57 [INFO]\t[TRAIN] Epoch=9/10, Step=370/1230, loss=0.473623, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 07:59:58 [INFO]\t[TRAIN] Epoch=9/10, Step=380/1230, loss=0.603908, acc1=0.781250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:2\n",
      "2022-02-21 07:59:58 [INFO]\t[TRAIN] Epoch=9/10, Step=390/1230, loss=0.118232, acc1=0.968750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 07:59:59 [INFO]\t[TRAIN] Epoch=9/10, Step=400/1230, loss=0.284045, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:0\n",
      "2022-02-21 08:00:00 [INFO]\t[TRAIN] Epoch=9/10, Step=410/1230, loss=0.568723, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 08:00:00 [INFO]\t[TRAIN] Epoch=9/10, Step=420/1230, loss=0.443758, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:0\n",
      "2022-02-21 08:00:01 [INFO]\t[TRAIN] Epoch=9/10, Step=430/1230, loss=0.400063, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:0\n",
      "2022-02-21 08:00:01 [INFO]\t[TRAIN] Epoch=9/10, Step=440/1230, loss=0.595769, acc1=0.812500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 08:00:02 [INFO]\t[TRAIN] Epoch=9/10, Step=450/1230, loss=0.389237, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 08:00:02 [INFO]\t[TRAIN] Epoch=9/10, Step=460/1230, loss=0.676978, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:57\n",
      "2022-02-21 08:00:03 [INFO]\t[TRAIN] Epoch=9/10, Step=470/1230, loss=0.475156, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:3\n",
      "2022-02-21 08:00:04 [INFO]\t[TRAIN] Epoch=9/10, Step=480/1230, loss=0.411410, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:2:1\n",
      "2022-02-21 08:00:04 [INFO]\t[TRAIN] Epoch=9/10, Step=490/1230, loss=0.863941, acc1=0.812500, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:1:58\n",
      "2022-02-21 08:00:05 [INFO]\t[TRAIN] Epoch=9/10, Step=500/1230, loss=1.136135, acc1=0.750000, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:1:58\n",
      "2022-02-21 08:00:05 [INFO]\t[TRAIN] Epoch=9/10, Step=510/1230, loss=0.632039, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:57\n",
      "2022-02-21 08:00:06 [INFO]\t[TRAIN] Epoch=9/10, Step=520/1230, loss=0.612689, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:55\n",
      "2022-02-21 08:00:07 [INFO]\t[TRAIN] Epoch=9/10, Step=530/1230, loss=0.702134, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:54\n",
      "2022-02-21 08:00:07 [INFO]\t[TRAIN] Epoch=9/10, Step=540/1230, loss=0.279902, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:55\n",
      "2022-02-21 08:00:08 [INFO]\t[TRAIN] Epoch=9/10, Step=550/1230, loss=0.649735, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:52\n",
      "2022-02-21 08:00:08 [INFO]\t[TRAIN] Epoch=9/10, Step=560/1230, loss=0.827702, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:52\n",
      "2022-02-21 08:00:09 [INFO]\t[TRAIN] Epoch=9/10, Step=570/1230, loss=0.737880, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:51\n",
      "2022-02-21 08:00:09 [INFO]\t[TRAIN] Epoch=9/10, Step=580/1230, loss=0.298024, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:51\n",
      "2022-02-21 08:00:10 [INFO]\t[TRAIN] Epoch=9/10, Step=590/1230, loss=0.197003, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:50\n",
      "2022-02-21 08:00:11 [INFO]\t[TRAIN] Epoch=9/10, Step=600/1230, loss=0.570329, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:50\n",
      "2022-02-21 08:00:11 [INFO]\t[TRAIN] Epoch=9/10, Step=610/1230, loss=0.336703, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:51\n",
      "2022-02-21 08:00:12 [INFO]\t[TRAIN] Epoch=9/10, Step=620/1230, loss=0.555807, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:51\n",
      "2022-02-21 08:00:12 [INFO]\t[TRAIN] Epoch=9/10, Step=630/1230, loss=0.538303, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:50\n",
      "2022-02-21 08:00:13 [INFO]\t[TRAIN] Epoch=9/10, Step=640/1230, loss=0.187909, acc1=0.968750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:48\n",
      "2022-02-21 08:00:13 [INFO]\t[TRAIN] Epoch=9/10, Step=650/1230, loss=0.526863, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:49\n",
      "2022-02-21 08:00:14 [INFO]\t[TRAIN] Epoch=9/10, Step=660/1230, loss=0.721666, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:48\n",
      "2022-02-21 08:00:15 [INFO]\t[TRAIN] Epoch=9/10, Step=670/1230, loss=0.482399, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:47\n",
      "2022-02-21 08:00:15 [INFO]\t[TRAIN] Epoch=9/10, Step=680/1230, loss=0.425895, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:46\n",
      "2022-02-21 08:00:16 [INFO]\t[TRAIN] Epoch=9/10, Step=690/1230, loss=0.484842, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:45\n",
      "2022-02-21 08:00:16 [INFO]\t[TRAIN] Epoch=9/10, Step=700/1230, loss=0.879250, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:44\n",
      "2022-02-21 08:00:17 [INFO]\t[TRAIN] Epoch=9/10, Step=710/1230, loss=0.871427, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:43\n",
      "2022-02-21 08:00:17 [INFO]\t[TRAIN] Epoch=9/10, Step=720/1230, loss=0.507472, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:43\n",
      "2022-02-21 08:00:18 [INFO]\t[TRAIN] Epoch=9/10, Step=730/1230, loss=0.520483, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:42\n",
      "2022-02-21 08:00:19 [INFO]\t[TRAIN] Epoch=9/10, Step=740/1230, loss=0.803664, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:42\n",
      "2022-02-21 08:00:19 [INFO]\t[TRAIN] Epoch=9/10, Step=750/1230, loss=0.261771, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:42\n",
      "2022-02-21 08:00:20 [INFO]\t[TRAIN] Epoch=9/10, Step=760/1230, loss=0.508590, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:41\n",
      "2022-02-21 08:00:20 [INFO]\t[TRAIN] Epoch=9/10, Step=770/1230, loss=0.745805, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:40\n",
      "2022-02-21 08:00:21 [INFO]\t[TRAIN] Epoch=9/10, Step=780/1230, loss=0.310006, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:39\n",
      "2022-02-21 08:00:21 [INFO]\t[TRAIN] Epoch=9/10, Step=790/1230, loss=0.304325, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:41\n",
      "2022-02-21 08:00:22 [INFO]\t[TRAIN] Epoch=9/10, Step=800/1230, loss=1.000059, acc1=0.781250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:40\n",
      "2022-02-21 08:00:23 [INFO]\t[TRAIN] Epoch=9/10, Step=810/1230, loss=0.553741, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:40\n",
      "2022-02-21 08:00:23 [INFO]\t[TRAIN] Epoch=9/10, Step=820/1230, loss=0.681400, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:38\n",
      "2022-02-21 08:00:24 [INFO]\t[TRAIN] Epoch=9/10, Step=830/1230, loss=0.575116, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:39\n",
      "2022-02-21 08:00:24 [INFO]\t[TRAIN] Epoch=9/10, Step=840/1230, loss=0.247656, acc1=0.968750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:38\n",
      "2022-02-21 08:00:25 [INFO]\t[TRAIN] Epoch=9/10, Step=850/1230, loss=0.413023, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:35\n",
      "2022-02-21 08:00:26 [INFO]\t[TRAIN] Epoch=9/10, Step=860/1230, loss=0.399782, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:35\n",
      "2022-02-21 08:00:26 [INFO]\t[TRAIN] Epoch=9/10, Step=870/1230, loss=0.702748, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:36\n",
      "2022-02-21 08:00:27 [INFO]\t[TRAIN] Epoch=9/10, Step=880/1230, loss=0.514086, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:34\n",
      "2022-02-21 08:00:27 [INFO]\t[TRAIN] Epoch=9/10, Step=890/1230, loss=0.510756, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:33\n",
      "2022-02-21 08:00:28 [INFO]\t[TRAIN] Epoch=9/10, Step=900/1230, loss=0.252831, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:33\n",
      "2022-02-21 08:00:28 [INFO]\t[TRAIN] Epoch=9/10, Step=910/1230, loss=0.647159, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:32\n",
      "2022-02-21 08:00:29 [INFO]\t[TRAIN] Epoch=9/10, Step=920/1230, loss=0.693765, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:31\n",
      "2022-02-21 08:00:30 [INFO]\t[TRAIN] Epoch=9/10, Step=930/1230, loss=0.338676, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:31\n",
      "2022-02-21 08:00:30 [INFO]\t[TRAIN] Epoch=9/10, Step=940/1230, loss=0.472055, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:30\n",
      "2022-02-21 08:00:31 [INFO]\t[TRAIN] Epoch=9/10, Step=950/1230, loss=1.047893, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:30\n",
      "2022-02-21 08:00:31 [INFO]\t[TRAIN] Epoch=9/10, Step=960/1230, loss=0.593092, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:31\n",
      "2022-02-21 08:00:32 [INFO]\t[TRAIN] Epoch=9/10, Step=970/1230, loss=0.866062, acc1=0.656250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:30\n",
      "2022-02-21 08:00:32 [INFO]\t[TRAIN] Epoch=9/10, Step=980/1230, loss=0.410053, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:29\n",
      "2022-02-21 08:00:33 [INFO]\t[TRAIN] Epoch=9/10, Step=990/1230, loss=0.671521, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:28\n",
      "2022-02-21 08:00:34 [INFO]\t[TRAIN] Epoch=9/10, Step=1000/1230, loss=0.439447, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:27\n",
      "2022-02-21 08:00:34 [INFO]\t[TRAIN] Epoch=9/10, Step=1010/1230, loss=0.607466, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:27\n",
      "2022-02-21 08:00:35 [INFO]\t[TRAIN] Epoch=9/10, Step=1020/1230, loss=0.948325, acc1=0.750000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:26\n",
      "2022-02-21 08:00:35 [INFO]\t[TRAIN] Epoch=9/10, Step=1030/1230, loss=0.487891, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:25\n",
      "2022-02-21 08:00:36 [INFO]\t[TRAIN] Epoch=9/10, Step=1040/1230, loss=0.653768, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:25\n",
      "2022-02-21 08:00:37 [INFO]\t[TRAIN] Epoch=9/10, Step=1050/1230, loss=0.474307, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:25\n",
      "2022-02-21 08:00:37 [INFO]\t[TRAIN] Epoch=9/10, Step=1060/1230, loss=0.716510, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:23\n",
      "2022-02-21 08:00:38 [INFO]\t[TRAIN] Epoch=9/10, Step=1070/1230, loss=0.371090, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:22\n",
      "2022-02-21 08:00:38 [INFO]\t[TRAIN] Epoch=9/10, Step=1080/1230, loss=0.561377, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:22\n",
      "2022-02-21 08:00:39 [INFO]\t[TRAIN] Epoch=9/10, Step=1090/1230, loss=0.489601, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:21\n",
      "2022-02-21 08:00:39 [INFO]\t[TRAIN] Epoch=9/10, Step=1100/1230, loss=1.390058, acc1=0.718750, acc5=0.781250, lr=0.000025, time_each_step=0.06s, eta=0:1:20\n",
      "2022-02-21 08:00:40 [INFO]\t[TRAIN] Epoch=9/10, Step=1110/1230, loss=0.555230, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:21\n",
      "2022-02-21 08:00:40 [INFO]\t[TRAIN] Epoch=9/10, Step=1120/1230, loss=0.855585, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:20\n",
      "2022-02-21 08:00:41 [INFO]\t[TRAIN] Epoch=9/10, Step=1130/1230, loss=0.602429, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:21\n",
      "2022-02-21 08:00:42 [INFO]\t[TRAIN] Epoch=9/10, Step=1140/1230, loss=0.447904, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:20\n",
      "2022-02-21 08:00:42 [INFO]\t[TRAIN] Epoch=9/10, Step=1150/1230, loss=0.440110, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:19\n",
      "2022-02-21 08:00:43 [INFO]\t[TRAIN] Epoch=9/10, Step=1160/1230, loss=0.690435, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:19\n",
      "2022-02-21 08:00:43 [INFO]\t[TRAIN] Epoch=9/10, Step=1170/1230, loss=0.682304, acc1=0.812500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:18\n",
      "2022-02-21 08:00:44 [INFO]\t[TRAIN] Epoch=9/10, Step=1180/1230, loss=0.816404, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:17\n",
      "2022-02-21 08:00:45 [INFO]\t[TRAIN] Epoch=9/10, Step=1190/1230, loss=0.602828, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:17\n",
      "2022-02-21 08:00:45 [INFO]\t[TRAIN] Epoch=9/10, Step=1200/1230, loss=0.529433, acc1=0.843750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:16\n",
      "2022-02-21 08:00:46 [INFO]\t[TRAIN] Epoch=9/10, Step=1210/1230, loss=0.418959, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:17\n",
      "2022-02-21 08:00:46 [INFO]\t[TRAIN] Epoch=9/10, Step=1220/1230, loss=0.385717, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:15\n",
      "2022-02-21 08:00:47 [INFO]\t[TRAIN] Epoch=9/10, Step=1230/1230, loss=0.522873, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:15\n",
      "2022-02-21 08:00:47 [INFO]\t[TRAIN] Epoch 9 finished, loss=0.5816851, acc1=0.85010165, acc5=0.94756097 .\n",
      "2022-02-21 08:00:47 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 08:00:50 [INFO]\t[EVAL] Finished, Epoch=9, acc1=0.972360, acc5=0.999250 .\n",
      "2022-02-21 08:00:50 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_8, acc1=0.9745405316352844\n",
      "2022-02-21 08:00:51 [INFO]\tModel saved in output/mobilenetv3_small/epoch_9.\n",
      "2022-02-21 08:00:52 [INFO]\t[TRAIN] Epoch=10/10, Step=10/1230, loss=0.849841, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.09s, eta=0:1:46\n",
      "2022-02-21 08:00:52 [INFO]\t[TRAIN] Epoch=10/10, Step=20/1230, loss=0.702266, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:10\n",
      "2022-02-21 08:00:53 [INFO]\t[TRAIN] Epoch=10/10, Step=30/1230, loss=0.430208, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:9\n",
      "2022-02-21 08:00:53 [INFO]\t[TRAIN] Epoch=10/10, Step=40/1230, loss=0.538834, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:8\n",
      "2022-02-21 08:00:54 [INFO]\t[TRAIN] Epoch=10/10, Step=50/1230, loss=0.567151, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:9\n",
      "2022-02-21 08:00:55 [INFO]\t[TRAIN] Epoch=10/10, Step=60/1230, loss=0.733747, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:9\n",
      "2022-02-21 08:00:55 [INFO]\t[TRAIN] Epoch=10/10, Step=70/1230, loss=0.366061, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:8\n",
      "2022-02-21 08:00:56 [INFO]\t[TRAIN] Epoch=10/10, Step=80/1230, loss=0.419137, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:7\n",
      "2022-02-21 08:00:56 [INFO]\t[TRAIN] Epoch=10/10, Step=90/1230, loss=0.858461, acc1=0.812500, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:1:7\n",
      "2022-02-21 08:00:57 [INFO]\t[TRAIN] Epoch=10/10, Step=100/1230, loss=0.364059, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:6\n",
      "2022-02-21 08:00:57 [INFO]\t[TRAIN] Epoch=10/10, Step=110/1230, loss=1.296698, acc1=0.718750, acc5=0.812500, lr=0.000025, time_each_step=0.06s, eta=0:1:5\n",
      "2022-02-21 08:00:58 [INFO]\t[TRAIN] Epoch=10/10, Step=120/1230, loss=0.892130, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:5\n",
      "2022-02-21 08:00:59 [INFO]\t[TRAIN] Epoch=10/10, Step=130/1230, loss=0.711112, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:1:4\n",
      "2022-02-21 08:00:59 [INFO]\t[TRAIN] Epoch=10/10, Step=140/1230, loss=0.450960, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:1:3\n",
      "2022-02-21 08:01:00 [INFO]\t[TRAIN] Epoch=10/10, Step=150/1230, loss=0.249434, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:3\n",
      "2022-02-21 08:01:00 [INFO]\t[TRAIN] Epoch=10/10, Step=160/1230, loss=1.113908, acc1=0.718750, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:1:1\n",
      "2022-02-21 08:01:01 [INFO]\t[TRAIN] Epoch=10/10, Step=170/1230, loss=0.323895, acc1=0.968750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:1:2\n",
      "2022-02-21 08:01:02 [INFO]\t[TRAIN] Epoch=10/10, Step=180/1230, loss=0.557318, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:1\n",
      "2022-02-21 08:01:02 [INFO]\t[TRAIN] Epoch=10/10, Step=190/1230, loss=0.371118, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:1:1\n",
      "2022-02-21 08:01:03 [INFO]\t[TRAIN] Epoch=10/10, Step=200/1230, loss=0.277878, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:59\n",
      "2022-02-21 08:01:03 [INFO]\t[TRAIN] Epoch=10/10, Step=210/1230, loss=0.584312, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:59\n",
      "2022-02-21 08:01:04 [INFO]\t[TRAIN] Epoch=10/10, Step=220/1230, loss=0.710098, acc1=0.750000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:58\n",
      "2022-02-21 08:01:04 [INFO]\t[TRAIN] Epoch=10/10, Step=230/1230, loss=0.534700, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:57\n",
      "2022-02-21 08:01:05 [INFO]\t[TRAIN] Epoch=10/10, Step=240/1230, loss=0.267361, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:58\n",
      "2022-02-21 08:01:06 [INFO]\t[TRAIN] Epoch=10/10, Step=250/1230, loss=0.373491, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:57\n",
      "2022-02-21 08:01:06 [INFO]\t[TRAIN] Epoch=10/10, Step=260/1230, loss=0.516173, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:56\n",
      "2022-02-21 08:01:07 [INFO]\t[TRAIN] Epoch=10/10, Step=270/1230, loss=0.431373, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:55\n",
      "2022-02-21 08:01:07 [INFO]\t[TRAIN] Epoch=10/10, Step=280/1230, loss=0.816312, acc1=0.750000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:55\n",
      "2022-02-21 08:01:08 [INFO]\t[TRAIN] Epoch=10/10, Step=290/1230, loss=0.824074, acc1=0.843750, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:54\n",
      "2022-02-21 08:01:09 [INFO]\t[TRAIN] Epoch=10/10, Step=300/1230, loss=0.517771, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:53\n",
      "2022-02-21 08:01:09 [INFO]\t[TRAIN] Epoch=10/10, Step=310/1230, loss=0.237579, acc1=0.968750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:53\n",
      "2022-02-21 08:01:10 [INFO]\t[TRAIN] Epoch=10/10, Step=320/1230, loss=0.361156, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:53\n",
      "2022-02-21 08:01:10 [INFO]\t[TRAIN] Epoch=10/10, Step=330/1230, loss=0.595892, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:52\n",
      "2022-02-21 08:01:11 [INFO]\t[TRAIN] Epoch=10/10, Step=340/1230, loss=0.217945, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:51\n",
      "2022-02-21 08:01:11 [INFO]\t[TRAIN] Epoch=10/10, Step=350/1230, loss=0.701036, acc1=0.781250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:51\n",
      "2022-02-21 08:01:12 [INFO]\t[TRAIN] Epoch=10/10, Step=360/1230, loss=0.750551, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:50\n",
      "2022-02-21 08:01:13 [INFO]\t[TRAIN] Epoch=10/10, Step=370/1230, loss=0.560987, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:49\n",
      "2022-02-21 08:01:13 [INFO]\t[TRAIN] Epoch=10/10, Step=380/1230, loss=0.517007, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:49\n",
      "2022-02-21 08:01:14 [INFO]\t[TRAIN] Epoch=10/10, Step=390/1230, loss=0.896335, acc1=0.781250, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:49\n",
      "2022-02-21 08:01:14 [INFO]\t[TRAIN] Epoch=10/10, Step=400/1230, loss=0.578426, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:48\n",
      "2022-02-21 08:01:15 [INFO]\t[TRAIN] Epoch=10/10, Step=410/1230, loss=0.544845, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:48\n",
      "2022-02-21 08:01:15 [INFO]\t[TRAIN] Epoch=10/10, Step=420/1230, loss=0.468410, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:46\n",
      "2022-02-21 08:01:16 [INFO]\t[TRAIN] Epoch=10/10, Step=430/1230, loss=0.845116, acc1=0.781250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:46\n",
      "2022-02-21 08:01:17 [INFO]\t[TRAIN] Epoch=10/10, Step=440/1230, loss=0.557249, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:45\n",
      "2022-02-21 08:01:17 [INFO]\t[TRAIN] Epoch=10/10, Step=450/1230, loss=0.423722, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:45\n",
      "2022-02-21 08:01:18 [INFO]\t[TRAIN] Epoch=10/10, Step=460/1230, loss=0.271560, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:44\n",
      "2022-02-21 08:01:18 [INFO]\t[TRAIN] Epoch=10/10, Step=470/1230, loss=0.433553, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:44\n",
      "2022-02-21 08:01:19 [INFO]\t[TRAIN] Epoch=10/10, Step=480/1230, loss=0.749974, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:43\n",
      "2022-02-21 08:01:20 [INFO]\t[TRAIN] Epoch=10/10, Step=490/1230, loss=0.628634, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:44\n",
      "2022-02-21 08:01:20 [INFO]\t[TRAIN] Epoch=10/10, Step=500/1230, loss=0.710670, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:42\n",
      "2022-02-21 08:01:21 [INFO]\t[TRAIN] Epoch=10/10, Step=510/1230, loss=0.699718, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:41\n",
      "2022-02-21 08:01:21 [INFO]\t[TRAIN] Epoch=10/10, Step=520/1230, loss=0.608772, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:41\n",
      "2022-02-21 08:01:22 [INFO]\t[TRAIN] Epoch=10/10, Step=530/1230, loss=1.024999, acc1=0.781250, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:40\n",
      "2022-02-21 08:01:22 [INFO]\t[TRAIN] Epoch=10/10, Step=540/1230, loss=0.562587, acc1=0.812500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:40\n",
      "2022-02-21 08:01:23 [INFO]\t[TRAIN] Epoch=10/10, Step=550/1230, loss=0.437434, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:39\n",
      "2022-02-21 08:01:24 [INFO]\t[TRAIN] Epoch=10/10, Step=560/1230, loss=0.375204, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:38\n",
      "2022-02-21 08:01:24 [INFO]\t[TRAIN] Epoch=10/10, Step=570/1230, loss=0.259326, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:38\n",
      "2022-02-21 08:01:25 [INFO]\t[TRAIN] Epoch=10/10, Step=580/1230, loss=0.504752, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:38\n",
      "2022-02-21 08:01:25 [INFO]\t[TRAIN] Epoch=10/10, Step=590/1230, loss=0.472004, acc1=0.875000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:36\n",
      "2022-02-21 08:01:26 [INFO]\t[TRAIN] Epoch=10/10, Step=600/1230, loss=0.795488, acc1=0.843750, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:36\n",
      "2022-02-21 08:01:27 [INFO]\t[TRAIN] Epoch=10/10, Step=610/1230, loss=0.275087, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:39\n",
      "2022-02-21 08:01:27 [INFO]\t[TRAIN] Epoch=10/10, Step=620/1230, loss=0.411271, acc1=0.937500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:35\n",
      "2022-02-21 08:01:28 [INFO]\t[TRAIN] Epoch=10/10, Step=630/1230, loss=0.790726, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:34\n",
      "2022-02-21 08:01:28 [INFO]\t[TRAIN] Epoch=10/10, Step=640/1230, loss=0.655188, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:33\n",
      "2022-02-21 08:01:29 [INFO]\t[TRAIN] Epoch=10/10, Step=650/1230, loss=1.129686, acc1=0.687500, acc5=0.843750, lr=0.000025, time_each_step=0.06s, eta=0:0:33\n",
      "2022-02-21 08:01:29 [INFO]\t[TRAIN] Epoch=10/10, Step=660/1230, loss=0.302881, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:32\n",
      "2022-02-21 08:01:30 [INFO]\t[TRAIN] Epoch=10/10, Step=670/1230, loss=1.095959, acc1=0.687500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:32\n",
      "2022-02-21 08:01:31 [INFO]\t[TRAIN] Epoch=10/10, Step=680/1230, loss=0.745792, acc1=0.781250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:31\n",
      "2022-02-21 08:01:31 [INFO]\t[TRAIN] Epoch=10/10, Step=690/1230, loss=0.336753, acc1=0.937500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:30\n",
      "2022-02-21 08:01:32 [INFO]\t[TRAIN] Epoch=10/10, Step=700/1230, loss=0.664731, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:30\n",
      "2022-02-21 08:01:32 [INFO]\t[TRAIN] Epoch=10/10, Step=710/1230, loss=0.058297, acc1=1.000000, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:30\n",
      "2022-02-21 08:01:33 [INFO]\t[TRAIN] Epoch=10/10, Step=720/1230, loss=0.337021, acc1=0.843750, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:29\n",
      "2022-02-21 08:01:33 [INFO]\t[TRAIN] Epoch=10/10, Step=730/1230, loss=0.852532, acc1=0.687500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:28\n",
      "2022-02-21 08:01:34 [INFO]\t[TRAIN] Epoch=10/10, Step=740/1230, loss=0.461738, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:30\n",
      "2022-02-21 08:01:35 [INFO]\t[TRAIN] Epoch=10/10, Step=750/1230, loss=0.797804, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:28\n",
      "2022-02-21 08:01:35 [INFO]\t[TRAIN] Epoch=10/10, Step=760/1230, loss=0.222654, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:27\n",
      "2022-02-21 08:01:36 [INFO]\t[TRAIN] Epoch=10/10, Step=770/1230, loss=0.716530, acc1=0.875000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:26\n",
      "2022-02-21 08:01:36 [INFO]\t[TRAIN] Epoch=10/10, Step=780/1230, loss=0.904996, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:25\n",
      "2022-02-21 08:01:37 [INFO]\t[TRAIN] Epoch=10/10, Step=790/1230, loss=0.938495, acc1=0.750000, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:25\n",
      "2022-02-21 08:01:38 [INFO]\t[TRAIN] Epoch=10/10, Step=800/1230, loss=0.494766, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:24\n",
      "2022-02-21 08:01:38 [INFO]\t[TRAIN] Epoch=10/10, Step=810/1230, loss=0.260820, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:23\n",
      "2022-02-21 08:01:39 [INFO]\t[TRAIN] Epoch=10/10, Step=820/1230, loss=0.264407, acc1=0.968750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:23\n",
      "2022-02-21 08:01:39 [INFO]\t[TRAIN] Epoch=10/10, Step=830/1230, loss=0.736963, acc1=0.812500, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:23\n",
      "2022-02-21 08:01:40 [INFO]\t[TRAIN] Epoch=10/10, Step=840/1230, loss=0.361634, acc1=0.937500, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:22\n",
      "2022-02-21 08:01:40 [INFO]\t[TRAIN] Epoch=10/10, Step=850/1230, loss=0.783573, acc1=0.843750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:22\n",
      "2022-02-21 08:01:41 [INFO]\t[TRAIN] Epoch=10/10, Step=860/1230, loss=0.430634, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:21\n",
      "2022-02-21 08:01:42 [INFO]\t[TRAIN] Epoch=10/10, Step=870/1230, loss=0.510686, acc1=0.843750, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:20\n",
      "2022-02-21 08:01:42 [INFO]\t[TRAIN] Epoch=10/10, Step=880/1230, loss=0.654245, acc1=0.875000, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:20\n",
      "2022-02-21 08:01:43 [INFO]\t[TRAIN] Epoch=10/10, Step=890/1230, loss=0.739665, acc1=0.781250, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:19\n",
      "2022-02-21 08:01:43 [INFO]\t[TRAIN] Epoch=10/10, Step=900/1230, loss=0.563562, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:19\n",
      "2022-02-21 08:01:44 [INFO]\t[TRAIN] Epoch=10/10, Step=910/1230, loss=0.795785, acc1=0.843750, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:18\n",
      "2022-02-21 08:01:45 [INFO]\t[TRAIN] Epoch=10/10, Step=920/1230, loss=0.323992, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:18\n",
      "2022-02-21 08:01:45 [INFO]\t[TRAIN] Epoch=10/10, Step=930/1230, loss=0.930144, acc1=0.718750, acc5=0.906250, lr=0.000025, time_each_step=0.06s, eta=0:0:17\n",
      "2022-02-21 08:01:46 [INFO]\t[TRAIN] Epoch=10/10, Step=940/1230, loss=0.861691, acc1=0.812500, acc5=0.843750, lr=0.000025, time_each_step=0.06s, eta=0:0:16\n",
      "2022-02-21 08:01:46 [INFO]\t[TRAIN] Epoch=10/10, Step=950/1230, loss=0.513153, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:16\n",
      "2022-02-21 08:01:47 [INFO]\t[TRAIN] Epoch=10/10, Step=960/1230, loss=0.671587, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:15\n",
      "2022-02-21 08:01:47 [INFO]\t[TRAIN] Epoch=10/10, Step=970/1230, loss=1.025309, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:15\n",
      "2022-02-21 08:01:48 [INFO]\t[TRAIN] Epoch=10/10, Step=980/1230, loss=0.516158, acc1=0.875000, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:14\n",
      "2022-02-21 08:01:49 [INFO]\t[TRAIN] Epoch=10/10, Step=990/1230, loss=0.363264, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:13\n",
      "2022-02-21 08:01:49 [INFO]\t[TRAIN] Epoch=10/10, Step=1000/1230, loss=0.723134, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:13\n",
      "2022-02-21 08:01:50 [INFO]\t[TRAIN] Epoch=10/10, Step=1010/1230, loss=0.740220, acc1=0.781250, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:12\n",
      "2022-02-21 08:01:50 [INFO]\t[TRAIN] Epoch=10/10, Step=1020/1230, loss=0.290695, acc1=0.906250, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:12\n",
      "2022-02-21 08:01:51 [INFO]\t[TRAIN] Epoch=10/10, Step=1030/1230, loss=0.321649, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:11\n",
      "2022-02-21 08:01:52 [INFO]\t[TRAIN] Epoch=10/10, Step=1040/1230, loss=0.615383, acc1=0.875000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:11\n",
      "2022-02-21 08:01:52 [INFO]\t[TRAIN] Epoch=10/10, Step=1050/1230, loss=1.027120, acc1=0.718750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:10\n",
      "2022-02-21 08:01:53 [INFO]\t[TRAIN] Epoch=10/10, Step=1060/1230, loss=0.681322, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:9\n",
      "2022-02-21 08:01:53 [INFO]\t[TRAIN] Epoch=10/10, Step=1070/1230, loss=0.283499, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:9\n",
      "2022-02-21 08:01:54 [INFO]\t[TRAIN] Epoch=10/10, Step=1080/1230, loss=0.592789, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:8\n",
      "2022-02-21 08:01:54 [INFO]\t[TRAIN] Epoch=10/10, Step=1090/1230, loss=0.439988, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:8\n",
      "2022-02-21 08:01:55 [INFO]\t[TRAIN] Epoch=10/10, Step=1100/1230, loss=1.033906, acc1=0.781250, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:7\n",
      "2022-02-21 08:01:56 [INFO]\t[TRAIN] Epoch=10/10, Step=1110/1230, loss=0.972307, acc1=0.687500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:6\n",
      "2022-02-21 08:01:56 [INFO]\t[TRAIN] Epoch=10/10, Step=1120/1230, loss=0.458309, acc1=0.906250, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:6\n",
      "2022-02-21 08:01:57 [INFO]\t[TRAIN] Epoch=10/10, Step=1130/1230, loss=0.562702, acc1=0.937500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:5\n",
      "2022-02-21 08:01:57 [INFO]\t[TRAIN] Epoch=10/10, Step=1140/1230, loss=1.100799, acc1=0.812500, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:5\n",
      "2022-02-21 08:01:58 [INFO]\t[TRAIN] Epoch=10/10, Step=1150/1230, loss=0.554609, acc1=0.843750, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:4\n",
      "2022-02-21 08:01:58 [INFO]\t[TRAIN] Epoch=10/10, Step=1160/1230, loss=0.216793, acc1=0.937500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:4\n",
      "2022-02-21 08:01:59 [INFO]\t[TRAIN] Epoch=10/10, Step=1170/1230, loss=0.896370, acc1=0.812500, acc5=0.875000, lr=0.000025, time_each_step=0.06s, eta=0:0:3\n",
      "2022-02-21 08:02:00 [INFO]\t[TRAIN] Epoch=10/10, Step=1180/1230, loss=0.978598, acc1=0.812500, acc5=0.843750, lr=0.000025, time_each_step=0.06s, eta=0:0:2\n",
      "2022-02-21 08:02:00 [INFO]\t[TRAIN] Epoch=10/10, Step=1190/1230, loss=0.363312, acc1=0.906250, acc5=0.968750, lr=0.000025, time_each_step=0.06s, eta=0:0:2\n",
      "2022-02-21 08:02:01 [INFO]\t[TRAIN] Epoch=10/10, Step=1200/1230, loss=0.676880, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:1\n",
      "2022-02-21 08:02:01 [INFO]\t[TRAIN] Epoch=10/10, Step=1210/1230, loss=0.384202, acc1=0.812500, acc5=1.000000, lr=0.000025, time_each_step=0.06s, eta=0:0:1\n",
      "2022-02-21 08:02:02 [INFO]\t[TRAIN] Epoch=10/10, Step=1220/1230, loss=0.606997, acc1=0.812500, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:0\n",
      "2022-02-21 08:02:03 [INFO]\t[TRAIN] Epoch=10/10, Step=1230/1230, loss=0.845876, acc1=0.750000, acc5=0.937500, lr=0.000025, time_each_step=0.06s, eta=0:0:0\n",
      "2022-02-21 08:02:03 [INFO]\t[TRAIN] Epoch 10 finished, loss=0.5770107, acc1=0.8518547, acc5=0.94822156 .\n",
      "2022-02-21 08:02:03 [INFO]\tStart to evaluate(total_samples=1375, total_steps=43)...\n",
      "2022-02-21 08:02:06 [INFO]\t[EVAL] Finished, Epoch=10, acc1=0.975267, acc5=0.999250 .\n",
      "2022-02-21 08:02:06 [INFO]\tModel saved in output/mobilenetv3_small/best_model.\n",
      "2022-02-21 08:02:06 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_10, acc1=0.9752672910690308\n",
      "2022-02-21 08:02:07 [INFO]\tModel saved in output/mobilenetv3_small/epoch_10.\n"
     ]
    }
   ],
   "source": [
    "num_classes = len(train_dataset.labels)\n",
    "model = pdx.cls.MobileNetV3_small(num_classes=num_classes)\n",
    "\n",
    "model.train(num_epochs=10,\n",
    "            train_dataset=train_dataset,\n",
    "            train_batch_size=32,\n",
    "            eval_dataset=eval_dataset,\n",
    "            lr_decay_epochs=[4, 6, 8],\n",
    "            save_dir='output/mobilenetv3_small',\n",
    "            use_vdl=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 加载训练保存的模型预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-02-21T00:34:52.885325Z",
     "iopub.status.busy": "2022-02-21T00:34:52.884584Z",
     "iopub.status.idle": "2022-02-21T00:34:53.045456Z",
     "shell.execute_reply": "2022-02-21T00:34:53.044868Z",
     "shell.execute_reply.started": "2022-02-21T00:34:52.885285Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-02-21 08:34:53 [INFO]\tModel[MobileNetV3_small] loaded.\n",
      "Predict Result:  [{'category_id': 0, 'category': 'AFRICAN_CROWNED_CRANE', 'score': 1.0}]\n"
     ]
    }
   ],
   "source": [
    "import paddlex as pdx\n",
    "model = pdx.load_model('output/mobilenetv3_small/best_model')\n",
    "result = model.predict('/home/aistudio/Bird_Dataset/birds/test/AFRICAN_CROWNED_CRANE/1.jpg')\n",
    "print(\"Predict Result: \", result)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "py35-paddle1.2.0"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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